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[FreeCourseSite.com] Udemy - Machine Learning and Data Science Hands-on with Python and R

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2019-07-05

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FreeCourseSite com Udemy Machine Learning and Data Science Hands on with Python and

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File Name

Size

1. Machine Learning - Statistics Essentials/1. Machine Learning Introduction.mp4

20.06MB

1. Machine Learning - Statistics Essentials/1. Machine Learning Introduction.vtt

4.36KB

1. Machine Learning - Statistics Essentials/10. Technical Terminology.mp4

54.82MB

1. Machine Learning - Statistics Essentials/10. Technical Terminology.vtt

11.05KB

1. Machine Learning - Statistics Essentials/11. Error of Observation and Non Observation.mp4

31.16MB

1. Machine Learning - Statistics Essentials/11. Error of Observation and Non Observation.vtt

31.17MB

1. Machine Learning - Statistics Essentials/12. Systematic Sampling.mp4

54.93MB

1. Machine Learning - Statistics Essentials/12. Systematic Sampling.vtt

7.93KB

1. Machine Learning - Statistics Essentials/13. Cluster Sampling.mp4

58.79MB

1. Machine Learning - Statistics Essentials/13. Cluster Sampling.vtt

9.99KB

1. Machine Learning - Statistics Essentials/14. Statistics Data Types.mp4

25.59MB

1. Machine Learning - Statistics Essentials/14. Statistics Data Types.vtt

25.59MB

1. Machine Learning - Statistics Essentials/15. Qualitative Data and Visualization.mp4

37.69MB

1. Machine Learning - Statistics Essentials/15. Qualitative Data and Visualization.vtt

8.11KB

1. Machine Learning - Statistics Essentials/16. Machine Learning.mp4

56.07MB

1. Machine Learning - Statistics Essentials/16. Machine Learning.vtt

8.45KB

1. Machine Learning - Statistics Essentials/17. Relative Frequency Probability.mp4

62.98MB

1. Machine Learning - Statistics Essentials/17. Relative Frequency Probability.vtt

9.13KB

1. Machine Learning - Statistics Essentials/18. Joint Probability.mp4

85.96MB

1. Machine Learning - Statistics Essentials/18. Joint Probability.vtt

9.81KB

1. Machine Learning - Statistics Essentials/19. Conditional Probability.mp4

42.78MB

1. Machine Learning - Statistics Essentials/19. Conditional Probability.vtt

8.09KB

1. Machine Learning - Statistics Essentials/2. Introduction to Machine Learning with Python.mp4

6.52MB

1. Machine Learning - Statistics Essentials/2. Introduction to Machine Learning with Python.vtt

3.33KB

1. Machine Learning - Statistics Essentials/20. Concept of Independence.mp4

40.3MB

1. Machine Learning - Statistics Essentials/20. Concept of Independence.vtt

5.78KB

1. Machine Learning - Statistics Essentials/21. Total Probability.mp4

57.65MB

1. Machine Learning - Statistics Essentials/21. Total Probability.vtt

9.28KB

1. Machine Learning - Statistics Essentials/22. Random Variable.mp4

46.71MB

1. Machine Learning - Statistics Essentials/22. Random Variable.vtt

8.26KB

1. Machine Learning - Statistics Essentials/23. Probability Distribution.mp4

68.8MB

1. Machine Learning - Statistics Essentials/23. Probability Distribution.vtt

10.4KB

1. Machine Learning - Statistics Essentials/24. Cumulative Probability Distribution.mp4

37.58MB

1. Machine Learning - Statistics Essentials/24. Cumulative Probability Distribution.vtt

8.67KB

1. Machine Learning - Statistics Essentials/25. Bernoulli Distribution.mp4

38.71MB

1. Machine Learning - Statistics Essentials/25. Bernoulli Distribution.vtt

8.21KB

1. Machine Learning - Statistics Essentials/26. Gaussian Distribution.mp4

33.68MB

1. Machine Learning - Statistics Essentials/26. Gaussian Distribution.vtt

8.05KB

1. Machine Learning - Statistics Essentials/27. Geometric Distribution.mp4

33.2MB

1. Machine Learning - Statistics Essentials/27. Geometric Distribution.vtt

7.25KB

1. Machine Learning - Statistics Essentials/28. Continuous and Normal Distribution.mp4

49.07MB

1. Machine Learning - Statistics Essentials/28. Continuous and Normal Distribution.vtt

9.6KB

1. Machine Learning - Statistics Essentials/29. Mathematical Expression and Computation.mp4

33.82MB

1. Machine Learning - Statistics Essentials/29. Mathematical Expression and Computation.vtt

8.7KB

1. Machine Learning - Statistics Essentials/3. Analytics in Machine Learning.mp4

47.03MB

1. Machine Learning - Statistics Essentials/3. Analytics in Machine Learning.vtt

8.46KB

1. Machine Learning - Statistics Essentials/30. Transpose of Matrix.mp4

46.05MB

1. Machine Learning - Statistics Essentials/30. Transpose of Matrix.vtt

8.39KB

1. Machine Learning - Statistics Essentials/31. Properties of Matrix.mp4

47.72MB

1. Machine Learning - Statistics Essentials/31. Properties of Matrix.vtt

11.58KB

1. Machine Learning - Statistics Essentials/32. Determinants.mp4

47.64MB

1. Machine Learning - Statistics Essentials/32. Determinants.vtt

8.57KB

1. Machine Learning - Statistics Essentials/33. Error Types.mp4

53.25MB

1. Machine Learning - Statistics Essentials/33. Error Types.vtt

8.34KB

1. Machine Learning - Statistics Essentials/34. Critical Value Approach.mp4

57.08MB

1. Machine Learning - Statistics Essentials/34. Critical Value Approach.vtt

7.59KB

1. Machine Learning - Statistics Essentials/35. Right and Left Sided Critical Approach.mp4

59.27MB

1. Machine Learning - Statistics Essentials/35. Right and Left Sided Critical Approach.vtt

9.42KB

1. Machine Learning - Statistics Essentials/36. P-Value Approach.mp4

79.84MB

1. Machine Learning - Statistics Essentials/36. P-Value Approach.vtt

8.82KB

1. Machine Learning - Statistics Essentials/37. P-Value Approach Continues.mp4

55.8MB

1. Machine Learning - Statistics Essentials/37. P-Value Approach Continues.vtt

7.84KB

1. Machine Learning - Statistics Essentials/38. Hypothesis Testing.mp4

43.49MB

1. Machine Learning - Statistics Essentials/38. Hypothesis Testing.vtt

9.28KB

1. Machine Learning - Statistics Essentials/39. Left Tail Test.mp4

22.9MB

1. Machine Learning - Statistics Essentials/39. Left Tail Test.vtt

4.66KB

1. Machine Learning - Statistics Essentials/4. Big Data Machine Learning.mp4

50.99MB

1. Machine Learning - Statistics Essentials/4. Big Data Machine Learning.vtt

7.27KB

1. Machine Learning - Statistics Essentials/40. Two Tail Test.mp4

41.64MB

1. Machine Learning - Statistics Essentials/40. Two Tail Test.vtt

8.8KB

1. Machine Learning - Statistics Essentials/41. Confidence Interval.mp4

52.67MB

1. Machine Learning - Statistics Essentials/41. Confidence Interval.vtt

8.07KB

1. Machine Learning - Statistics Essentials/42. Example of Confidence Interval.mp4

62.96MB

1. Machine Learning - Statistics Essentials/42. Example of Confidence Interval.vtt

10.37KB

1. Machine Learning - Statistics Essentials/43. Normal and Non Normal Distribution.mp4

32.45MB

1. Machine Learning - Statistics Essentials/43. Normal and Non Normal Distribution.vtt

9.04KB

1. Machine Learning - Statistics Essentials/44. Normality Test.mp4

45.72MB

1. Machine Learning - Statistics Essentials/44. Normality Test.vtt

8.69KB

1. Machine Learning - Statistics Essentials/45. Normality Test Continues.mp4

40.97MB

1. Machine Learning - Statistics Essentials/45. Normality Test Continues.vtt

9.01KB

1. Machine Learning - Statistics Essentials/46. Determining the Transformation.mp4

22.14MB

1. Machine Learning - Statistics Essentials/46. Determining the Transformation.vtt

5.7KB

1. Machine Learning - Statistics Essentials/47. T-Test.mp4

45.2MB

1. Machine Learning - Statistics Essentials/47. T-Test.vtt

9.71KB

1. Machine Learning - Statistics Essentials/48. T-Test Continue.mp4

47.22MB

1. Machine Learning - Statistics Essentials/48. T-Test Continue.vtt

7.11KB

1. Machine Learning - Statistics Essentials/49. More on T-Test.mp4

55.52MB

1. Machine Learning - Statistics Essentials/49. More on T-Test.vtt

8.59KB

1. Machine Learning - Statistics Essentials/5. Emerging Trends Machine Learning.mp4

72.39MB

1. Machine Learning - Statistics Essentials/5. Emerging Trends Machine Learning.vtt

7.85KB

1. Machine Learning - Statistics Essentials/50. Test of Independence.mp4

53.96MB

1. Machine Learning - Statistics Essentials/50. Test of Independence.vtt

10.35KB

1. Machine Learning - Statistics Essentials/51. Example of Test of Independence.mp4

51.13MB

1. Machine Learning - Statistics Essentials/51. Example of Test of Independence.vtt

9.14KB

1. Machine Learning - Statistics Essentials/52. Goodness of Fit Test.mp4

40.22MB

1. Machine Learning - Statistics Essentials/52. Goodness of Fit Test.vtt

6.49KB

1. Machine Learning - Statistics Essentials/53. Example of Goodness of Fit Test.mp4

37.93MB

1. Machine Learning - Statistics Essentials/53. Example of Goodness of Fit Test.vtt

6.77KB

1. Machine Learning - Statistics Essentials/54. Co-Variance.mp4

17.99MB

1. Machine Learning - Statistics Essentials/54. Co-Variance.vtt

5.02KB

1. Machine Learning - Statistics Essentials/55. Co-Variance Continues.mp4

24.04MB

1. Machine Learning - Statistics Essentials/55. Co-Variance Continues.vtt

7.33KB

1. Machine Learning - Statistics Essentials/6. Data Mining.mp4

43.82MB

1. Machine Learning - Statistics Essentials/6. Data Mining.vtt

7.88KB

1. Machine Learning - Statistics Essentials/7. Data Mining Continues.mp4

67.73MB

1. Machine Learning - Statistics Essentials/7. Data Mining Continues.vtt

6.83KB

1. Machine Learning - Statistics Essentials/8. Supervised and Unsupervised.mp4

45.4MB

1. Machine Learning - Statistics Essentials/8. Supervised and Unsupervised.vtt

7.43KB

1. Machine Learning - Statistics Essentials/9. Sampling Method in Machine Learning.mp4

31.14MB

1. Machine Learning - Statistics Essentials/9. Sampling Method in Machine Learning.vtt

7.44KB

10. Natural Language Processing (NLP) Tutorials/1. Intoroduction to NLP.mp4

32.7MB

10. Natural Language Processing (NLP) Tutorials/1. Intoroduction to NLP.vtt

7.2KB

10. Natural Language Processing (NLP) Tutorials/10. Stemming and Lemmatization Continues.mp4

61.22MB

10. Natural Language Processing (NLP) Tutorials/10. Stemming and Lemmatization Continues.vtt

7.3KB

10. Natural Language Processing (NLP) Tutorials/11. Convert Token No Stopwords.mp4

62.67MB

10. Natural Language Processing (NLP) Tutorials/11. Convert Token No Stopwords.vtt

5.77KB

10. Natural Language Processing (NLP) Tutorials/12. Machine Learning Algorithms.mp4

60.01MB

10. Natural Language Processing (NLP) Tutorials/12. Machine Learning Algorithms.vtt

6.33KB

10. Natural Language Processing (NLP) Tutorials/2. Text Preprocessing.mp4

39.41MB

10. Natural Language Processing (NLP) Tutorials/2. Text Preprocessing.vtt

6.29KB

10. Natural Language Processing (NLP) Tutorials/3. Feature Extraction.mp4

4.48MB

10. Natural Language Processing (NLP) Tutorials/3. Feature Extraction.vtt

1.57KB

10. Natural Language Processing (NLP) Tutorials/4. NLP Installation.mp4

59.69MB

10. Natural Language Processing (NLP) Tutorials/4. NLP Installation.vtt

9.86KB

10. Natural Language Processing (NLP) Tutorials/5. NLP - Demo.mp4

89.44MB

10. Natural Language Processing (NLP) Tutorials/5. NLP - Demo.vtt

10.5KB

10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4

135.03MB

10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.vtt

10.34KB

10. Natural Language Processing (NLP) Tutorials/7. Tokenize Dataset.mp4

69.46MB

10. Natural Language Processing (NLP) Tutorials/7. Tokenize Dataset.vtt

5.31KB

10. Natural Language Processing (NLP) Tutorials/8. Remove Stopwords.mp4

68.24MB

10. Natural Language Processing (NLP) Tutorials/8. Remove Stopwords.vtt

5.7KB

10. Natural Language Processing (NLP) Tutorials/9. Stemming and Lemmatization.mp4

96.03MB

10. Natural Language Processing (NLP) Tutorials/9. Stemming and Lemmatization.vtt

9.08KB

11. Bayesian Machine Learning AB Testing/1. Introduction to Bayesian Machine Learning.mp4

36.82MB

11. Bayesian Machine Learning AB Testing/1. Introduction to Bayesian Machine Learning.vtt

9.88KB

11. Bayesian Machine Learning AB Testing/2. Example of Bayesian Machine Learning.mp4

31.87MB

11. Bayesian Machine Learning AB Testing/2. Example of Bayesian Machine Learning.vtt

6.67KB

11. Bayesian Machine Learning AB Testing/3. Example of Bayesian Machine Learning Continues.mp4

36.13MB

11. Bayesian Machine Learning AB Testing/3. Example of Bayesian Machine Learning Continues.vtt

4.39KB

11. Bayesian Machine Learning AB Testing/4. MCMC Module of PYMC Implementation.mp4

43.41MB

11. Bayesian Machine Learning AB Testing/4. MCMC Module of PYMC Implementation.vtt

4.11KB

11. Bayesian Machine Learning AB Testing/5. Running the MCMC Module.mp4

42.54MB

11. Bayesian Machine Learning AB Testing/5. Running the MCMC Module.vtt

4.76KB

11. Bayesian Machine Learning AB Testing/6. Multiple Variant Testing Using Hierarchial Model.mp4

45.95MB

11. Bayesian Machine Learning AB Testing/6. Multiple Variant Testing Using Hierarchial Model.vtt

7.45KB

11. Bayesian Machine Learning AB Testing/7. Example of Multiple Variant Testing.mp4

29.38MB

11. Bayesian Machine Learning AB Testing/7. Example of Multiple Variant Testing.vtt

2.32KB

11. Bayesian Machine Learning AB Testing/8. Example of Multiple Variant Testing Continues.mp4

52.25MB

11. Bayesian Machine Learning AB Testing/8. Example of Multiple Variant Testing Continues.vtt

7.92KB

12. Machine Learning with R/1. Introduction to Machine Learning with Python.mp4

58.25MB

12. Machine Learning with R/1. Introduction to Machine Learning with Python.vtt

9.18KB

12. Machine Learning with R/10. 2.10 Problem and Solution.mp4

79.67MB

12. Machine Learning with R/10. 2.10 Problem and Solution.vtt

7.61KB

12. Machine Learning with R/100. Diagnostic Checking.mp4

60.55MB

12. Machine Learning with R/100. Diagnostic Checking.vtt

8.71KB

12. Machine Learning with R/101. Forecasting Using Stock Price.mp4

108.9MB

12. Machine Learning with R/101. Forecasting Using Stock Price.vtt

9.65KB

12. Machine Learning with R/102. Stock Price Index.mp4

99.87MB

12. Machine Learning with R/102. Stock Price Index.vtt

8.75KB

12. Machine Learning with R/103. Stock Price Index Continues.mp4

95.16MB

12. Machine Learning with R/103. Stock Price Index Continues.vtt

7.1KB

12. Machine Learning with R/104. Prophet Stock.mp4

50.06MB

12. Machine Learning with R/104. Prophet Stock.vtt

3.61KB

12. Machine Learning with R/105. Run Prophet Stock.mp4

78.21MB

12. Machine Learning with R/105. Run Prophet Stock.vtt

6.71KB

12. Machine Learning with R/106. Time Series Data Denationalization.mp4

101.32MB

12. Machine Learning with R/106. Time Series Data Denationalization.vtt

9.37KB

12. Machine Learning with R/107. Time Series Data Denationalization Continues.mp4

78.48MB

12. Machine Learning with R/107. Time Series Data Denationalization Continues.vtt

6.69KB

12. Machine Learning with R/108. Average of Quarter Denationalization.mp4

126.96MB

12. Machine Learning with R/108. Average of Quarter Denationalization.vtt

9.37KB

12. Machine Learning with R/109. Regression of Denationalization.mp4

103.77MB

12. Machine Learning with R/109. Regression of Denationalization.vtt

7.74KB

12. Machine Learning with R/11. Exponentiation Right to Left.mp4

53.17MB

12. Machine Learning with R/11. Exponentiation Right to Left.vtt

6.49KB

12. Machine Learning with R/110. Gradient Boosting Machines.mp4

67MB

12. Machine Learning with R/110. Gradient Boosting Machines.vtt

9.04KB

12. Machine Learning with R/111. Errors in Gradient Boosting Machines.mp4

57.6MB

12. Machine Learning with R/111. Errors in Gradient Boosting Machines.vtt

10.28KB

12. Machine Learning with R/112. What is Error Rate in Gradient Boosting Machines.mp4

57.55MB

12. Machine Learning with R/112. What is Error Rate in Gradient Boosting Machines.vtt

6.83KB

12. Machine Learning with R/113. Optimization Gradient Boosting Machines.mp4

51.82MB

12. Machine Learning with R/113. Optimization Gradient Boosting Machines.vtt

6.67KB

12. Machine Learning with R/114. Gradient Boosting Trees (GBT).mp4

38.39MB

12. Machine Learning with R/114. Gradient Boosting Trees (GBT).vtt

5.43KB

12. Machine Learning with R/115. Dataset Boosting in Gradient.mp4

96.43MB

12. Machine Learning with R/115. Dataset Boosting in Gradient.vtt

10.5KB

12. Machine Learning with R/116. Example of Dataset Boosting in Gradient.mp4

95.79MB

12. Machine Learning with R/116. Example of Dataset Boosting in Gradient.vtt

10.83KB

12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4

113.25MB

12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.vtt

12.62KB

12. Machine Learning with R/118. Market Basket Analysis Association Rules.mp4

98.38MB

12. Machine Learning with R/118. Market Basket Analysis Association Rules.vtt

10.69KB

12. Machine Learning with R/119. Market Basket Analysis Association Rules Continues.mp4

78.3MB

12. Machine Learning with R/119. Market Basket Analysis Association Rules Continues.vtt

9.61KB

12. Machine Learning with R/12. 2.13 Avoiding Some Common Mistakes.mp4

69.82MB

12. Machine Learning with R/12. 2.13 Avoiding Some Common Mistakes.vtt

7.15KB

12. Machine Learning with R/120. Market Basket Analysis Interpretation.mp4

50.28MB

12. Machine Learning with R/120. Market Basket Analysis Interpretation.vtt

6.75KB

12. Machine Learning with R/121. Implementation of Market Basket Analysis.mp4

30.32MB

12. Machine Learning with R/121. Implementation of Market Basket Analysis.vtt

4.57KB

12. Machine Learning with R/122. Example of Market Basket Analysis.mp4

84.78MB

12. Machine Learning with R/122. Example of Market Basket Analysis.vtt

9.12KB

12. Machine Learning with R/123. Datamining in Market Basket Analysis.mp4

85.97MB

12. Machine Learning with R/123. Datamining in Market Basket Analysis.vtt

10.72KB

12. Machine Learning with R/124. Market Basket Analysis Using Rstudio.mp4

78.53MB

12. Machine Learning with R/124. Market Basket Analysis Using Rstudio.vtt

9.39KB

12. Machine Learning with R/125. Market Basket Analysis Using Rstudio Continues.mp4

94.13MB

12. Machine Learning with R/125. Market Basket Analysis Using Rstudio Continues.vtt

94.13MB

12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4

122.52MB

12. Machine Learning with R/126. More on Rstudio in Market Analysis.vtt

11.22KB

12. Machine Learning with R/127. New Development in Machine Learning.mp4

93.23MB

12. Machine Learning with R/127. New Development in Machine Learning.vtt

93.24MB

12. Machine Learning with R/128. Data Scientist in Machine Learnirng.mp4

74.05MB

12. Machine Learning with R/128. Data Scientist in Machine Learnirng.vtt

10.06KB

12. Machine Learning with R/129. Types of Detection in Machine Learning.mp4

102.86MB

12. Machine Learning with R/129. Types of Detection in Machine Learning.vtt

9.45KB

12. Machine Learning with R/13. Simple Linear Regression.mp4

68.16MB

12. Machine Learning with R/13. Simple Linear Regression.vtt

10.45KB

12. Machine Learning with R/130. Example of New Development in Machine Learning.mp4

79.23MB

12. Machine Learning with R/130. Example of New Development in Machine Learning.vtt

9.17KB

12. Machine Learning with R/131. Example of New Development in Machine Learning Continues.mp4

53.15MB

12. Machine Learning with R/131. Example of New Development in Machine Learning Continues.vtt

4.45KB

12. Machine Learning with R/14. Simple Linear Regression Continues.mp4

39.71MB

12. Machine Learning with R/14. Simple Linear Regression Continues.vtt

6.04KB

12. Machine Learning with R/15. What is Rsquare.mp4

77.58MB

12. Machine Learning with R/15. What is Rsquare.vtt

7.69KB

12. Machine Learning with R/16. Standard Error.mp4

54.56MB

12. Machine Learning with R/16. Standard Error.vtt

7.37KB

12. Machine Learning with R/17. General Statistics.mp4

52.34MB

12. Machine Learning with R/17. General Statistics.vtt

3.96KB

12. Machine Learning with R/18. General Statistics Continues.mp4

50.23MB

12. Machine Learning with R/18. General Statistics Continues.vtt

5.74KB

12. Machine Learning with R/19. Simple Linear Regression and More of Statistics.mp4

69.26MB

12. Machine Learning with R/19. Simple Linear Regression and More of Statistics.vtt

10.7KB

12. Machine Learning with R/2. How do Machine Learn.mp4

51.66MB

12. Machine Learning with R/2. How do Machine Learn.vtt

8.12KB

12. Machine Learning with R/20. Open the Studio.mp4

40.4MB

12. Machine Learning with R/20. Open the Studio.vtt

5.82KB

12. Machine Learning with R/21. What is R Square.mp4

79.51MB

12. Machine Learning with R/21. What is R Square.vtt

8.01KB

12. Machine Learning with R/22. What is STD Error.mp4

55.37MB

12. Machine Learning with R/22. What is STD Error.vtt

6.71KB

12. Machine Learning with R/23. Reject Null Hypothesis.mp4

84.23MB

12. Machine Learning with R/23. Reject Null Hypothesis.vtt

8.24KB

12. Machine Learning with R/24. Variance Covariance and Correlation.mp4

81.89MB

12. Machine Learning with R/24. Variance Covariance and Correlation.vtt

11.48KB

12. Machine Learning with R/25. Root names and Types of Distribution Function.mp4

71.71MB

12. Machine Learning with R/25. Root names and Types of Distribution Function.vtt

10.59KB

12. Machine Learning with R/26. Generating Random Numbers and Combination Function.mp4

63.1MB

12. Machine Learning with R/26. Generating Random Numbers and Combination Function.vtt

6.98KB

12. Machine Learning with R/27. Probabilities for Discrete Distribution Function.mp4

83.57MB

12. Machine Learning with R/27. Probabilities for Discrete Distribution Function.vtt

8.91KB

12. Machine Learning with R/28. Quantile Function and Poison Distribution.mp4

77.31MB

12. Machine Learning with R/28. Quantile Function and Poison Distribution.vtt

8.4KB

12. Machine Learning with R/29. Students T Distribution, Hypothesis and Example.mp4

63.21MB

12. Machine Learning with R/29. Students T Distribution, Hypothesis and Example.vtt

7.18KB

12. Machine Learning with R/3. Steps to Apply Machine Learning.mp4

45.69MB

12. Machine Learning with R/3. Steps to Apply Machine Learning.vtt

7.24KB

12. Machine Learning with R/30. Chai-Square Distribution.mp4

41.33MB

12. Machine Learning with R/30. Chai-Square Distribution.vtt

4.88KB

12. Machine Learning with R/31. Data Visualization.mp4

77.8MB

12. Machine Learning with R/31. Data Visualization.vtt

7.15KB

12. Machine Learning with R/32. More on Data Visualization.mp4

70.53MB

12. Machine Learning with R/32. More on Data Visualization.vtt

6.73KB

12. Machine Learning with R/33. Multiple Linear Regression.mp4

90.37MB

12. Machine Learning with R/33. Multiple Linear Regression.vtt

7.84KB

12. Machine Learning with R/34. Multiple Linear Regression Continues.mp4

69.98MB

12. Machine Learning with R/34. Multiple Linear Regression Continues.vtt

6.33KB

12. Machine Learning with R/35. Regression Variables.mp4

101.45MB

12. Machine Learning with R/35. Regression Variables.vtt

6.16KB

12. Machine Learning with R/36. Generalized Linear Model.mp4

93.7MB

12. Machine Learning with R/36. Generalized Linear Model.vtt

10.56KB

12. Machine Learning with R/37. Generalized Least Square.mp4

88.79MB

12. Machine Learning with R/37. Generalized Least Square.vtt

7.4KB

12. Machine Learning with R/38. KNN- Various Methods of Distance Measurements.mp4

52.96MB

12. Machine Learning with R/38. KNN- Various Methods of Distance Measurements.vtt

9KB

12. Machine Learning with R/39. Overview of KNN- (Steps involved).mp4

71.1MB

12. Machine Learning with R/39. Overview of KNN- (Steps involved).vtt

10.01KB

12. Machine Learning with R/4. Regression and Classification Problems.mp4

62.38MB

12. Machine Learning with R/4. Regression and Classification Problems.vtt

8.03KB

12. Machine Learning with R/40. Data normalization and prediction on Test Data.mp4

86.41MB

12. Machine Learning with R/40. Data normalization and prediction on Test Data.vtt

8KB

12. Machine Learning with R/41. Improvement of Model Performance and ROC.mp4

85.09MB

12. Machine Learning with R/41. Improvement of Model Performance and ROC.vtt

10.68KB

12. Machine Learning with R/42. Decision Tree Classifier.mp4

57.8MB

12. Machine Learning with R/42. Decision Tree Classifier.vtt

7.48KB

12. Machine Learning with R/43. More on Decision Tree Classifier.mp4

81.5MB

12. Machine Learning with R/43. More on Decision Tree Classifier.vtt

6.64KB

12. Machine Learning with R/44. Pruning of Decision Trees.mp4

83.84MB

12. Machine Learning with R/44. Pruning of Decision Trees.vtt

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12. Machine Learning with R/45. Decision Tree Remaining.mp4

61.11MB

12. Machine Learning with R/45. Decision Tree Remaining.vtt

5.52KB

12. Machine Learning with R/46. Decision Tree Remaining Continues.mp4

46.7MB

12. Machine Learning with R/46. Decision Tree Remaining Continues.vtt

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12. Machine Learning with R/47. General concept of Random Forest.mp4

64.3MB

12. Machine Learning with R/47. General concept of Random Forest.vtt

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12. Machine Learning with R/48. Ada Boosting and Ensemble Learning.mp4

95.21MB

12. Machine Learning with R/48. Ada Boosting and Ensemble Learning.vtt

10.89KB

12. Machine Learning with R/49. Data Visualization and Preparation.mp4

89.28MB

12. Machine Learning with R/49. Data Visualization and Preparation.vtt

9.94KB

12. Machine Learning with R/5. Basic Data Manipulation in R.mp4

71.68MB

12. Machine Learning with R/5. Basic Data Manipulation in R.vtt

8.08KB

12. Machine Learning with R/50. Tuning Random Forest Model.mp4

63.4MB

12. Machine Learning with R/50. Tuning Random Forest Model.vtt

7.11KB

12. Machine Learning with R/51. Evaluation of Random Forest Model Performance.mp4

65.88MB

12. Machine Learning with R/51. Evaluation of Random Forest Model Performance.vtt

6.7KB

12. Machine Learning with R/52. Introduction to Kmeans Clustering.mp4

75.07MB

12. Machine Learning with R/52. Introduction to Kmeans Clustering.vtt

11.19KB

12. Machine Learning with R/53. Kmeans Elbow Point and Dataset.mp4

90.51MB

12. Machine Learning with R/53. Kmeans Elbow Point and Dataset.vtt

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12. Machine Learning with R/54. Example of Kmeans Dataset.mp4

122.65MB

12. Machine Learning with R/54. Example of Kmeans Dataset.vtt

10.86KB

12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4

126.69MB

12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.vtt

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12. Machine Learning with R/56. Creating a Graph for Kmeans Clustering Continues.mp4

90.64MB

12. Machine Learning with R/56. Creating a Graph for Kmeans Clustering Continues.vtt

7.07KB

12. Machine Learning with R/57. Aggregation Function of Clustering.mp4

78.46MB

12. Machine Learning with R/57. Aggregation Function of Clustering.vtt

8.33KB

12. Machine Learning with R/58. Conditional Probability with Bayes Algorithm.mp4

82.98MB

12. Machine Learning with R/58. Conditional Probability with Bayes Algorithm.vtt

9.51KB

12. Machine Learning with R/59. Venn Diagram Naive Bayes Classification.mp4

61.65MB

12. Machine Learning with R/59. Venn Diagram Naive Bayes Classification.vtt

8.74KB

12. Machine Learning with R/6. More on Data Manipulation in R.mp4

62.14MB

12. Machine Learning with R/6. More on Data Manipulation in R.vtt

6.55KB

12. Machine Learning with R/60. Component OF Bayes Theorem using Frequency Table.mp4

86.98MB

12. Machine Learning with R/60. Component OF Bayes Theorem using Frequency Table.vtt

10.58KB

12. Machine Learning with R/61. Naive Bayes Classification Algorithm and Laplace Estimator.mp4

70.4MB

12. Machine Learning with R/61. Naive Bayes Classification Algorithm and Laplace Estimator.vtt

8.71KB

12. Machine Learning with R/62. Example of Naive Bayes Classification.mp4

81.66MB

12. Machine Learning with R/62. Example of Naive Bayes Classification.vtt

9.74KB

12. Machine Learning with R/63. Example of Naive Bayes Classification Continues.mp4

100.12MB

12. Machine Learning with R/63. Example of Naive Bayes Classification Continues.vtt

11.08KB

12. Machine Learning with R/64. Spam and Ham Messages in Word Cloud.mp4

90.21MB

12. Machine Learning with R/64. Spam and Ham Messages in Word Cloud.vtt

8.95KB

12. Machine Learning with R/65. Implementation of Dictionary and Document Term Matrix.mp4

81.48MB

12. Machine Learning with R/65. Implementation of Dictionary and Document Term Matrix.vtt

6.89KB

12. Machine Learning with R/66. Executes the Function Naive Bayes.mp4

89.85MB

12. Machine Learning with R/66. Executes the Function Naive Bayes.vtt

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12. Machine Learning with R/67. Support Vector Machine with Black Box Method.mp4

59.63MB

12. Machine Learning with R/67. Support Vector Machine with Black Box Method.vtt

9.27KB

12. Machine Learning with R/68. Linearly and Non- Linearly Support Vector Machine.mp4

52.99MB

12. Machine Learning with R/68. Linearly and Non- Linearly Support Vector Machine.vtt

9.56KB

12. Machine Learning with R/69. Kernal Trick.mp4

57.19MB

12. Machine Learning with R/69. Kernal Trick.vtt

9.63KB

12. Machine Learning with R/7. Basic Data Manipulation in R - Practical.mp4

71.74MB

12. Machine Learning with R/7. Basic Data Manipulation in R - Practical.vtt

8.08KB

12. Machine Learning with R/70. Gaussian RBF Kernal and OCR with SVMs.mp4

81.18MB

12. Machine Learning with R/70. Gaussian RBF Kernal and OCR with SVMs.vtt

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12. Machine Learning with R/71. Examples of Gaussian RBF Kernal and OCR with SVMs.mp4

76.93MB

12. Machine Learning with R/71. Examples of Gaussian RBF Kernal and OCR with SVMs.vtt

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12. Machine Learning with R/72. Summary of Support Vector Machine.mp4

78.27MB

12. Machine Learning with R/72. Summary of Support Vector Machine.vtt

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12. Machine Learning with R/73. Feature Selection Dimension Reduction Technique.mp4

86.7MB

12. Machine Learning with R/73. Feature Selection Dimension Reduction Technique.vtt

9.77KB

12. Machine Learning with R/74. Feature Extraction Dimension Reduction Technique.mp4

82.53MB

12. Machine Learning with R/74. Feature Extraction Dimension Reduction Technique.vtt

9.88KB

12. Machine Learning with R/75. Dimension Reduction Technique Example.mp4

88.1MB

12. Machine Learning with R/75. Dimension Reduction Technique Example.vtt

8.82KB

12. Machine Learning with R/76. Dimension Reduction Technique Example Continues.mp4

84.19MB

12. Machine Learning with R/76. Dimension Reduction Technique Example Continues.vtt

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12. Machine Learning with R/77. Introduction Principal Component Analysis.mp4

66.74MB

12. Machine Learning with R/77. Introduction Principal Component Analysis.vtt

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12. Machine Learning with R/78. Steps of PCA.mp4

61.43MB

12. Machine Learning with R/78. Steps of PCA.vtt

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12. Machine Learning with R/79. Steps of PCA Continues.mp4

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12. Machine Learning with R/79. Steps of PCA Continues.vtt

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12. Machine Learning with R/8. Create a Vector.mp4

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12. Machine Learning with R/8. Create a Vector.vtt

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12. Machine Learning with R/80. Eigen Values.mp4

37.75MB

12. Machine Learning with R/80. Eigen Values.vtt

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12. Machine Learning with R/81. Eigen Vectors.mp4

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12. Machine Learning with R/81. Eigen Vectors.vtt

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12. Machine Learning with R/82. Principal Component Analysis using Pr-Comp.mp4

104.06MB

12. Machine Learning with R/82. Principal Component Analysis using Pr-Comp.vtt

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12. Machine Learning with R/83. Principal Component Analysis using Pr-Comp Continues.mp4

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12. Machine Learning with R/83. Principal Component Analysis using Pr-Comp Continues.vtt

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12. Machine Learning with R/84. C Bind Type in PCA.mp4

89.65MB

12. Machine Learning with R/84. C Bind Type in PCA.vtt

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12. Machine Learning with R/85. R Type Model.mp4

121.3MB

12. Machine Learning with R/85. R Type Model.vtt

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12. Machine Learning with R/86. Black Box Method in Neural Network.mp4

87.36MB

12. Machine Learning with R/86. Black Box Method in Neural Network.vtt

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12. Machine Learning with R/87. Characteristics of a Neural Networks.mp4

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12. Machine Learning with R/87. Characteristics of a Neural Networks.vtt

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12. Machine Learning with R/88. Network Topology of a Neural Networks.mp4

70.49MB

12. Machine Learning with R/88. Network Topology of a Neural Networks.vtt

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12. Machine Learning with R/89. Weight Adjustment and Case Update.mp4

80.93MB

12. Machine Learning with R/89. Weight Adjustment and Case Update.vtt

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12. Machine Learning with R/9. 2.7 Problem and Solution.mp4

69.89MB

12. Machine Learning with R/9. 2.7 Problem and Solution.vtt

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12. Machine Learning with R/90. Introduction Model Building in R.mp4

100.93MB

12. Machine Learning with R/90. Introduction Model Building in R.vtt

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12. Machine Learning with R/91. Installing the Package of Model Building in R.mp4

88.49MB

12. Machine Learning with R/91. Installing the Package of Model Building in R.vtt

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12. Machine Learning with R/92. Nodes in Model Building in R.mp4

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12. Machine Learning with R/92. Nodes in Model Building in R.vtt

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12. Machine Learning with R/93. Example of Model Building in R.mp4

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12. Machine Learning with R/93. Example of Model Building in R.vtt

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12. Machine Learning with R/94. Time Series Analysis.mp4

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12. Machine Learning with R/94. Time Series Analysis.vtt

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12. Machine Learning with R/95. Pattern in Time Series Data.mp4

51.02MB

12. Machine Learning with R/95. Pattern in Time Series Data.vtt

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12. Machine Learning with R/96. Time Series Modelling.mp4

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12. Machine Learning with R/96. Time Series Modelling.vtt

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12. Machine Learning with R/97. Moving Average Model.mp4

67.21MB

12. Machine Learning with R/97. Moving Average Model.vtt

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12. Machine Learning with R/98. Auto Correlation Function.mp4

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12. Machine Learning with R/98. Auto Correlation Function.vtt

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12. Machine Learning with R/99. Inference of ACF and PFCF.mp4

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12. Machine Learning with R/99. Inference of ACF and PFCF.vtt

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13. BIP - Business Intelligence Publisher using Siebel/1. Introduction to BIP.mp4

21MB

13. BIP - Business Intelligence Publisher using Siebel/1. Introduction to BIP.vtt

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13. BIP - Business Intelligence Publisher using Siebel/10. Siebel Applets ‚ Business Obejct and Business Components Part 2.mp4

90.35MB

13. BIP - Business Intelligence Publisher using Siebel/10. Siebel Applets ‚ Business Obejct and Business Components Part 2.vtt

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13. BIP - Business Intelligence Publisher using Siebel/11. IntegrationObjectsANDIntegrationObjectComponents.mp4

101.06MB

13. BIP - Business Intelligence Publisher using Siebel/11. IntegrationObjectsANDIntegrationObjectComponents.vtt

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13. BIP - Business Intelligence Publisher using Siebel/12. Siebel Views and View Associations to Reports.mp4

82.77MB

13. BIP - Business Intelligence Publisher using Siebel/12. Siebel Views and View Associations to Reports.vtt

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13. BIP - Business Intelligence Publisher using Siebel/13. Siebel HI-OpenUI framworks for BIP Reports and demo of AddIn.mp4

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13. BIP - Business Intelligence Publisher using Siebel/13. Siebel HI-OpenUI framworks for BIP Reports and demo of AddIn.vtt

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13. BIP - Business Intelligence Publisher using Siebel/14. Process_Flow_Overview.mp4

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13. BIP - Business Intelligence Publisher using Siebel/14. Process_Flow_Overview.vtt

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13. BIP - Business Intelligence Publisher using Siebel/15. Process_Flow_ConnectedMode.mp4

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13. BIP - Business Intelligence Publisher using Siebel/16. Process_Flow_DisconnectedMode.mp4

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13. BIP - Business Intelligence Publisher using Siebel/16. Process_Flow_DisconnectedMode.vtt

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13. BIP - Business Intelligence Publisher using Siebel/17. Siebel Report Business Service.mp4

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13. BIP - Business Intelligence Publisher using Siebel/17. Siebel Report Business Service.vtt

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13. BIP - Business Intelligence Publisher using Siebel/2. User Types.mp4

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13. BIP - Business Intelligence Publisher using Siebel/2. User Types.vtt

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13. BIP - Business Intelligence Publisher using Siebel/3. Running Modes.mp4

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13. BIP - Business Intelligence Publisher using Siebel/3. Running Modes.vtt

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13. BIP - Business Intelligence Publisher using Siebel/4. Learning about BIP Add-Ins.mp4

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13. BIP - Business Intelligence Publisher using Siebel/5. BIP_Into_5_BIP_AddIn2 and BIP_Into_6.mp4

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13. BIP - Business Intelligence Publisher using Siebel/5. BIP_Into_5_BIP_AddIn2 and BIP_Into_6.vtt

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13. BIP - Business Intelligence Publisher using Siebel/6. BIP_Into_7_Customized Reports Overview.mp4

59.34MB

13. BIP - Business Intelligence Publisher using Siebel/6. BIP_Into_7_Customized Reports Overview.vtt

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13. BIP - Business Intelligence Publisher using Siebel/7. BIP_Into_8_Developing Reports Overview.mp4

19.14MB

13. BIP - Business Intelligence Publisher using Siebel/7. BIP_Into_8_Developing Reports Overview.vtt

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13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4

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13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.vtt

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13. BIP - Business Intelligence Publisher using Siebel/9. Siebel Applets ‚ Business Obejct and Business Components Part 1.mp4

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13. BIP - Business Intelligence Publisher using Siebel/9. Siebel Applets ‚ Business Obejct and Business Components Part 1.vtt

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14. BI - Business Intelligence/1. BI Intro,definition.mp4

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14. BI - Business Intelligence/1. BI Intro,definition.vtt

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14. BI - Business Intelligence/10. planning deliverables,stage 3.mp4

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14. BI - Business Intelligence/100. Regression Model(Continues).mp4

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14. BI - Business Intelligence/100. Regression Model(Continues).vtt

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14. BI - Business Intelligence/101. Market Basket Analysis Applications.mp4

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14. BI - Business Intelligence/101. Market Basket Analysis Applications.vtt

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14. BI - Business Intelligence/102. Market Basket Analysis Applications(Continues).mp4

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14. BI - Business Intelligence/102. Market Basket Analysis Applications(Continues).vtt

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14. BI - Business Intelligence/11. Project Requirement,Data Analysis,Application part 1.mp4

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14. BI - Business Intelligence/11. Project Requirement,Data Analysis,Application part 1.vtt

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14. BI - Business Intelligence/12. Project Requirement,Data Analysis,Application part 2.mp4

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14. BI - Business Intelligence/12. Project Requirement,Data Analysis,Application part 2.vtt

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14. BI - Business Intelligence/13. Project Requirement,Data Analysis,Application part 3.mp4

46.98MB

14. BI - Business Intelligence/13. Project Requirement,Data Analysis,Application part 3.vtt

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14. BI - Business Intelligence/14. Meta Data.mp4

11.09MB

14. BI - Business Intelligence/14. Meta Data.vtt

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14. BI - Business Intelligence/15. data standardisation,meta data,etl,business analysis part 1.mp4

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14. BI - Business Intelligence/15. data standardisation,meta data,etl,business analysis part 1.vtt

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14. BI - Business Intelligence/16. data standardisation,meta data,etl,business analysis part 2.mp4

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14. BI - Business Intelligence/16. data standardisation,meta data,etl,business analysis part 2.vtt

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14. BI - Business Intelligence/17. data standardisation,meta data,etl,business analysis part 3.mp4

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14. BI - Business Intelligence/17. data standardisation,meta data,etl,business analysis part 3.vtt

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14. BI - Business Intelligence/18. ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 1.mp4

47.14MB

14. BI - Business Intelligence/18. ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 1.vtt

9.91KB

14. BI - Business Intelligence/19. ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 2.mp4

65.35MB

14. BI - Business Intelligence/19. ETL Design,Meta DATA ,STAGE 5 CONSTRUCTION DEVELOPMENT RECONCILATION Part 2.vtt

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14. BI - Business Intelligence/2. multidimensional db part 1.mp4

50.11MB

14. BI - Business Intelligence/2. multidimensional db part 1.vtt

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14. BI - Business Intelligence/20. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 1.mp4

46.66MB

14. BI - Business Intelligence/20. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 1.vtt

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14. BI - Business Intelligence/21. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 2.mp4

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14. BI - Business Intelligence/21. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 2.vtt

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14. BI - Business Intelligence/22. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 3.mp4

60.84MB

14. BI - Business Intelligence/22. ETL,APPLICATION dEVELOPMENT,DATA gaps,meta data repository,deployment Part 3.vtt

11.04KB

14. BI - Business Intelligence/23. database & recovery,release evaluation.mp4

30.53MB

14. BI - Business Intelligence/23. database & recovery,release evaluation.vtt

30.54MB

14. BI - Business Intelligence/24. post implementation review,toyota case.mp4

44.88MB

14. BI - Business Intelligence/24. post implementation review,toyota case.vtt

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14. BI - Business Intelligence/25. frame work for BI Part 1.mp4

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14. BI - Business Intelligence/25. frame work for BI Part 1.vtt

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14. BI - Business Intelligence/26. frame work for BI Part 2.mp4

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14. BI - Business Intelligence/26. frame work for BI Part 2.vtt

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14. BI - Business Intelligence/27. frame work for BI Part 3.mp4

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14. BI - Business Intelligence/27. frame work for BI Part 3.vtt

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14. BI - Business Intelligence/28. frame work for BI Part 4.mp4

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14. BI - Business Intelligence/28. frame work for BI Part 4.vtt

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14. BI - Business Intelligence/29. strategic imperitive of BI Part 1.mp4

49.28MB

14. BI - Business Intelligence/29. strategic imperitive of BI Part 1.vtt

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14. BI - Business Intelligence/3. multidimensional db part 2.mp4

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14. BI - Business Intelligence/3. multidimensional db part 2.vtt

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14. BI - Business Intelligence/30. strategic imperitive of BI Part 2.mp4

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14. BI - Business Intelligence/30. strategic imperitive of BI Part 2.vtt

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14. BI - Business Intelligence/31. Target System.mp4

47.82MB

14. BI - Business Intelligence/31. Target System.vtt

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14. BI - Business Intelligence/32. Data warehouse and ETL.mp4

33.03MB

14. BI - Business Intelligence/32. Data warehouse and ETL.vtt

6.29KB

14. BI - Business Intelligence/33. Facebook dataspace management with open source tools.mp4

38.35MB

14. BI - Business Intelligence/33. Facebook dataspace management with open source tools.vtt

6.06KB

14. BI - Business Intelligence/34. Agile Development Process.mp4

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14. BI - Business Intelligence/34. Agile Development Process.vtt

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14. BI - Business Intelligence/35. Agile Development Process Continues.mp4

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14. BI - Business Intelligence/35. Agile Development Process Continues.vtt

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14. BI - Business Intelligence/36. Challenges on dash board.mp4

32.28MB

14. BI - Business Intelligence/36. Challenges on dash board.vtt

4.48KB

14. BI - Business Intelligence/37. Building Users Expert Profile.mp4

62.77MB

14. BI - Business Intelligence/37. Building Users Expert Profile.vtt

8.14KB

14. BI - Business Intelligence/38. Semantic Technologies.mp4

53.11MB

14. BI - Business Intelligence/38. Semantic Technologies.vtt

7.05KB

14. BI - Business Intelligence/39. Semantic Tools.mp4

53.66MB

14. BI - Business Intelligence/39. Semantic Tools.vtt

6.75KB

14. BI - Business Intelligence/4. multidimensional db part 3.mp4

56.1MB

14. BI - Business Intelligence/4. multidimensional db part 3.vtt

10.26KB

14. BI - Business Intelligence/40. BI Algorithm By Example.mp4

42.01MB

14. BI - Business Intelligence/40. BI Algorithm By Example.vtt

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14. BI - Business Intelligence/41. Benefits of BI.mp4

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14. BI - Business Intelligence/41. Benefits of BI.vtt

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14. BI - Business Intelligence/42. Benefits of BI Continues.mp4

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14. BI - Business Intelligence/42. Benefits of BI Continues.vtt

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14. BI - Business Intelligence/43. Amazon.com and Net Flix.mp4

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14. BI - Business Intelligence/43. Amazon.com and Net Flix.vtt

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14. BI - Business Intelligence/44. What is Information Governance.mp4

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14. BI - Business Intelligence/44. What is Information Governance.vtt

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14. BI - Business Intelligence/45. Other BI Applications are used to store.mp4

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14. BI - Business Intelligence/46. Designing and Implementing BI Program.mp4

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14. BI - Business Intelligence/46. Designing and Implementing BI Program.vtt

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14. BI - Business Intelligence/47. ETL.mp4

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14. BI - Business Intelligence/48. ETL Continues.mp4

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14. BI - Business Intelligence/49. Loading.mp4

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14. BI - Business Intelligence/5. dbms platform.mp4

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14. BI - Business Intelligence/5. dbms platform.vtt

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14. BI - Business Intelligence/50. Type 2 Dimension.mp4

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14. BI - Business Intelligence/50. Type 2 Dimension.vtt

8.55KB

14. BI - Business Intelligence/51. Loading Fact Tables.mp4

47.39MB

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14. BI - Business Intelligence/52. Genearl Idea.mp4

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14. BI - Business Intelligence/52. Genearl Idea.vtt

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14. BI - Business Intelligence/53. Conceptual Model.mp4

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14. BI - Business Intelligence/54. Conceptual Model Continues.mp4

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14. BI - Business Intelligence/55. On Going Or Future Works.mp4

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14. BI - Business Intelligence/55. On Going Or Future Works.vtt

11.29KB

14. BI - Business Intelligence/56. Why Meta Data.mp4

42.77MB

14. BI - Business Intelligence/56. Why Meta Data.vtt

12.39KB

14. BI - Business Intelligence/57. Essentials Capabilities.mp4

27.42MB

14. BI - Business Intelligence/57. Essentials Capabilities.vtt

7.38KB

14. BI - Business Intelligence/58. Common Warehouse Metamodels.mp4

30.76MB

14. BI - Business Intelligence/58. Common Warehouse Metamodels.vtt

6.82KB

14. BI - Business Intelligence/59. Data Advantage Group.mp4

54MB

14. BI - Business Intelligence/59. Data Advantage Group.vtt

10.12KB

14. BI - Business Intelligence/6. technical non technical infrastructre part 1.mp4

43.12MB

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12.1KB

14. BI - Business Intelligence/60. DBMS Meta Data Tips.mp4

64.31MB

14. BI - Business Intelligence/60. DBMS Meta Data Tips.vtt

10.42KB

14. BI - Business Intelligence/61. For Building The Dataware house(Extraction Team).mp4

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14. BI - Business Intelligence/61. For Building The Dataware house(Extraction Team).vtt

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14. BI - Business Intelligence/62. Meta Data Essentials For IT.mp4

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14. BI - Business Intelligence/63. Business Metadata.mp4

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14. BI - Business Intelligence/64. Business Meta Data (Continues).mp4

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14. BI - Business Intelligence/65. Project Planning.mp4

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14. BI - Business Intelligence/66. Project Planning (Continues).mp4

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14. BI - Business Intelligence/67. Deployment Process.mp4

74.44MB

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13.49KB

14. BI - Business Intelligence/68. Chapter Outline.mp4

39.34MB

14. BI - Business Intelligence/68. Chapter Outline.vtt

9.02KB

14. BI - Business Intelligence/69. Break-Even Analysis.mp4

37.84MB

14. BI - Business Intelligence/69. Break-Even Analysis.vtt

8.84KB

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3. Machine Learning Project #1 - Shipping and Time Estimation/3. Defining Data Type.mp4

95.45MB

3. Machine Learning Project #1 - Shipping and Time Estimation/3. Defining Data Type.vtt

6.7KB

3. Machine Learning Project #1 - Shipping and Time Estimation/4. Data for Validation.mp4

103.3MB

3. Machine Learning Project #1 - Shipping and Time Estimation/4. Data for Validation.vtt

6.67KB

3. Machine Learning Project #1 - Shipping and Time Estimation/5. Finding the Corelation.mp4

72.68MB

3. Machine Learning Project #1 - Shipping and Time Estimation/5. Finding the Corelation.vtt

7.68KB

3. Machine Learning Project #1 - Shipping and Time Estimation/6. Density for Numeric Attribute.mp4

87.96MB

3. Machine Learning Project #1 - Shipping and Time Estimation/6. Density for Numeric Attribute.vtt

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3. Machine Learning Project #1 - Shipping and Time Estimation/7. Method for Train Control.mp4

50.5MB

3. Machine Learning Project #1 - Shipping and Time Estimation/7. Method for Train Control.vtt

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3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4

125.2MB

3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.vtt

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3. Machine Learning Project #1 - Shipping and Time Estimation/9. Mean Absolute Error.mp4

71.41MB

3. Machine Learning Project #1 - Shipping and Time Estimation/9. Mean Absolute Error.vtt

6.52KB

4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/1. Introduction to Supply Chain.mp4

100.34MB

4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/1. Introduction to Supply Chain.vtt

6.43KB

4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/2. G Plot of Heatmap.mp4

78.74MB

4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/2. G Plot of Heatmap.vtt

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.vtt

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/4. Heatmap for Discretized Dataset.mp4

88.57MB

4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/4. Heatmap for Discretized Dataset.vtt

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/5. Distinguished Methods with Single.mp4

43.58MB

4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/5. Distinguished Methods with Single.vtt

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/6. Analyzing both the Plots.mp4

72.83MB

4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/6. Analyzing both the Plots.vtt

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/7. Defining the Lengths.mp4

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/7. Defining the Lengths.vtt

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/8. Using Different Clusters.mp4

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4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/8. Using Different Clusters.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/1. Introduction to Predicting Prices Using Regression.mp4

58.91MB

5. Machine Learning Project #3 - Predicting Prices using Regression/1. Introduction to Predicting Prices Using Regression.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/10. Replacing Features with Values.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/10. Replacing Features with Values.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/11. Assigning Quantatative Variables.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/11. Assigning Quantatative Variables.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/12. Converting Columns to Cordinal Forms.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/12. Converting Columns to Cordinal Forms.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/13. Evaluating the Garage Finish Colummn.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/13. Evaluating the Garage Finish Colummn.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/14. Checking Shape of Data Frame.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/14. Checking Shape of Data Frame.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/15. Spliting Data to Train and Test.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/15. Spliting Data to Train and Test.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/16. Algorithm for Predicting Test Values.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/16. Algorithm for Predicting Test Values.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/2. Proximity to Various Conditions.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/2. Proximity to Various Conditions.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/3. Number of Fire Places.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/3. Number of Fire Places.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/4. Adding the Test Value.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/4. Adding the Test Value.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/5. Index to the ID Column.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/5. Index to the ID Column.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/6. Model on Data Set.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/6. Model on Data Set.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/7. Missing Value Imputation.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/7. Missing Value Imputation.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/8. Substituting Features with Value.mp4

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5. Machine Learning Project #3 - Predicting Prices using Regression/8. Substituting Features with Value.vtt

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5. Machine Learning Project #3 - Predicting Prices using Regression/9. Imputing a Row using at Command.mp4

71.67MB

5. Machine Learning Project #3 - Predicting Prices using Regression/9. Imputing a Row using at Command.vtt

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6. Machine Learning Project #4 - Banking and Credit Frauds/1. Introduction to Banking System.mp4

17.11MB

6. Machine Learning Project #4 - Banking and Credit Frauds/1. Introduction to Banking System.vtt

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6. Machine Learning Project #4 - Banking and Credit Frauds/2. Laon Status Grade.mp4

93.48MB

6. Machine Learning Project #4 - Banking and Credit Frauds/2. Laon Status Grade.vtt

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6. Machine Learning Project #4 - Banking and Credit Frauds/3. Logistic Regression and Logistic Question.mp4

64.52MB

6. Machine Learning Project #4 - Banking and Credit Frauds/3. Logistic Regression and Logistic Question.vtt

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6. Machine Learning Project #4 - Banking and Credit Frauds/4. Beta Value.mp4

48.28MB

6. Machine Learning Project #4 - Banking and Credit Frauds/4. Beta Value.vtt

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6. Machine Learning Project #4 - Banking and Credit Frauds/5. Predict Value.mp4

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6. Machine Learning Project #4 - Banking and Credit Frauds/5. Predict Value.vtt

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6. Machine Learning Project #4 - Banking and Credit Frauds/6. Performance Value.mp4

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6. Machine Learning Project #4 - Banking and Credit Frauds/6. Performance Value.vtt

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6. Machine Learning Project #4 - Banking and Credit Frauds/7. Fals Positive Rate.mp4

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6. Machine Learning Project #4 - Banking and Credit Frauds/7. Fals Positive Rate.vtt

3.54KB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/1. Introduction to Fraud Detection in Credit Payments.mp4

17.35MB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/1. Introduction to Fraud Detection in Credit Payments.vtt

6.4KB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.mp4

107.46MB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/11. CRS Efficiency and Efficiency.mp4

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/11. CRS Efficiency and Efficiency.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/2. Installation of Packages.mp4

72.81MB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/2. Installation of Packages.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/3. Risk Analytics.mp4

82.51MB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/3. Risk Analytics.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/4. Trading Companies and Stocks.mp4

97.65MB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/4. Trading Companies and Stocks.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/5. DEA with Input or Profit and Loss.mp4

87.78MB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/5. DEA with Input or Profit and Loss.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/6. Efficiency Profit and Loss.mp4

64.71MB

7. Machine Learning Project #5 - Fraud Detection in Credit Payments/6. Efficiency Profit and Loss.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/7. Rank Functions.mp4

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/7. Rank Functions.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/8. RHS Constaints.mp4

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/8. RHS Constaints.vtt

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/9. Profit and Loss Report.mp4

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7. Machine Learning Project #5 - Fraud Detection in Credit Payments/9. Profit and Loss Report.vtt

5.98KB

8. AWS Machine Learning/1. Introduction to Amazon Machine Learning (AML).mp4

38.18MB

8. AWS Machine Learning/1. Introduction to Amazon Machine Learning (AML).vtt

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8. AWS Machine Learning/10. Example of Data Insight In AML.mp4

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8. AWS Machine Learning/10. Example of Data Insight In AML.vtt

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8. AWS Machine Learning/11. More on Data Insight In AML.mp4

54.57MB

8. AWS Machine Learning/11. More on Data Insight In AML.vtt

8.15KB

8. AWS Machine Learning/12. ML Model Example in Data Sources.mp4

90.66MB

8. AWS Machine Learning/12. ML Model Example in Data Sources.vtt

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8. AWS Machine Learning/13. Creating ML Model Evaluating.mp4

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8. AWS Machine Learning/13. Creating ML Model Evaluating.vtt

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8. AWS Machine Learning/14. Advanced Setting In ML Model.mp4

38.46MB

8. AWS Machine Learning/14. Advanced Setting In ML Model.vtt

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8. AWS Machine Learning/15. Creating ML Model for Batch Prediction.mp4

84.89MB

8. AWS Machine Learning/15. Creating ML Model for Batch Prediction.vtt

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8. AWS Machine Learning/16. Batch Prediction Result.mp4

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8. AWS Machine Learning/16. Batch Prediction Result.vtt

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8. AWS Machine Learning/17. Overvies of ML Model Handson.mp4

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8. AWS Machine Learning/17. Overvies of ML Model Handson.vtt

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8. AWS Machine Learning/18. ML objects Handson in ML.mp4

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8. AWS Machine Learning/18. ML objects Handson in ML.vtt

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8. AWS Machine Learning/2. Lifecycle of AML.mp4

43.45MB

8. AWS Machine Learning/2. Lifecycle of AML.vtt

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8. AWS Machine Learning/3. Connecting to Data Source in AML.mp4

18.8MB

8. AWS Machine Learning/3. Connecting to Data Source in AML.vtt

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8. AWS Machine Learning/4. Creating Data Scheme in AML.mp4

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8. AWS Machine Learning/4. Creating Data Scheme in AML.vtt

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8. AWS Machine Learning/5. Invaild Value and Varible Target in AML.mp4

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8. AWS Machine Learning/5. Invaild Value and Varible Target in AML.vtt

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8. AWS Machine Learning/6. ML Models in AML.mp4

58.71MB

8. AWS Machine Learning/6. ML Models in AML.vtt

12.42KB

8. AWS Machine Learning/7. Manging ML Object in AML.mp4

12.02MB

8. AWS Machine Learning/7. Manging ML Object in AML.vtt

2.57KB

8. AWS Machine Learning/8. Creating DataSource Handson.mp4

104.1MB

8. AWS Machine Learning/8. Creating DataSource Handson.vtt

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8. AWS Machine Learning/9. Creating DataSource Handson Continues.mp4

69.95MB

8. AWS Machine Learning/9. Creating DataSource Handson Continues.vtt

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9. Deep Learning Tutorials/1. Introduction to Deep Learning.mp4

28.08MB

9. Deep Learning Tutorials/1. Introduction to Deep Learning.vtt

4.96KB

9. Deep Learning Tutorials/10. Data for Classifier.mp4

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9. Deep Learning Tutorials/10. Data for Classifier.vtt

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9. Deep Learning Tutorials/11. Implementing with Keras.mp4

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9. Deep Learning Tutorials/11. Implementing with Keras.vtt

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9. Deep Learning Tutorials/12. Values in Data Set.mp4

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9. Deep Learning Tutorials/12. Values in Data Set.vtt

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9. Deep Learning Tutorials/13. Components in Data Set.mp4

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9. Deep Learning Tutorials/13. Components in Data Set.vtt

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9. Deep Learning Tutorials/14. Models in Data Set.mp4

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9. Deep Learning Tutorials/14. Models in Data Set.vtt

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9. Deep Learning Tutorials/2. Structure of Neural Network.mp4

35.22MB

9. Deep Learning Tutorials/2. Structure of Neural Network.vtt

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9. Deep Learning Tutorials/3. Moving Through Neural Network.mp4

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9. Deep Learning Tutorials/3. Moving Through Neural Network.vtt

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9. Deep Learning Tutorials/4. Types of Activation Functions.mp4

20.42MB

9. Deep Learning Tutorials/4. Types of Activation Functions.vtt

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9. Deep Learning Tutorials/5. Optimizing Back Propagation.mp4

44.98MB

9. Deep Learning Tutorials/5. Optimizing Back Propagation.vtt

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9. Deep Learning Tutorials/6. Briefing on Tensor Flow.mp4

35.78MB

9. Deep Learning Tutorials/6. Briefing on Tensor Flow.vtt

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9. Deep Learning Tutorials/7. Installation of Tensor Flow.mp4

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9. Deep Learning Tutorials/7. Installation of Tensor Flow.vtt

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9. Deep Learning Tutorials/8. Implementatiion on Neural Package.mp4

81.87MB

9. Deep Learning Tutorials/8. Implementatiion on Neural Package.vtt

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9. Deep Learning Tutorials/9. Implementatiion on Neural Package Continues.mp4

69.05MB

9. Deep Learning Tutorials/9. Implementatiion on Neural Package Continues.vtt

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