[FreeTutorials.Eu] Udemy - Machine Learning A-Z Become Kaggle Master torrent, magnet, bt

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[FreeTutorials.Eu] Udemy - Machine Learning A-Z Become Kaggle Master

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FreeTutorials Eu Udemy Machine Learning Become Kaggle Master

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File Name

Size

10. Multiple Linear Regression/10. Case Study Part5.mp4

45.73MB

10. Multiple Linear Regression/10. Case Study Part5.vtt

6.1KB

10. Multiple Linear Regression/11. Case Study Part6 (RFE).mp4

64.15MB

10. Multiple Linear Regression/11. Case Study Part6 (RFE).vtt

8.24KB

10. Multiple Linear Regression/1.1 Multplr_LR_Code_for Udemy.zip.zip

521.01KB

10. Multiple Linear Regression/1. Introduction.mp4

16.46MB

10. Multiple Linear Regression/1. Introduction.vtt

3.63KB

10. Multiple Linear Regression/2. Case Study part1.mp4

83.04MB

10. Multiple Linear Regression/2. Case Study part1.vtt

8.51KB

10. Multiple Linear Regression/3. Case Study part2.mp4

98.41MB

10. Multiple Linear Regression/3. Case Study part2.vtt

12.18KB

10. Multiple Linear Regression/4. Case Study part3.mp4

68.67MB

10. Multiple Linear Regression/4. Case Study part3.vtt

7.75KB

10. Multiple Linear Regression/5. Adjusted R Square.mp4

8.08MB

10. Multiple Linear Regression/5. Adjusted R Square.vtt

855B

10. Multiple Linear Regression/6. Case Study Part1.mp4

68.55MB

10. Multiple Linear Regression/6. Case Study Part1.vtt

8.83KB

10. Multiple Linear Regression/7. Case Study Part2.mp4

72.9MB

10. Multiple Linear Regression/7. Case Study Part2.vtt

12.31KB

10. Multiple Linear Regression/8. Case Study Part3.mp4

66.56MB

10. Multiple Linear Regression/8. Case Study Part3.vtt

7.65KB

10. Multiple Linear Regression/9. Case Study Part4.mp4

132.2MB

10. Multiple Linear Regression/9. Case Study Part4.vtt

17.82KB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1.1 Hotstarcode-for-udemy.zip.zip

254.59KB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1. Introduction to the Problem Statement.mp4

40.85MB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1. Introduction to the Problem Statement.vtt

6.24KB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/2. Playing With Data.mp4

81.36MB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/2. Playing With Data.vtt

11.9KB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/3. Building Model Part1.mp4

55.07MB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/3. Building Model Part1.vtt

5.84KB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/4. Building Model Part2.mp4

87.8MB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/4. Building Model Part2.vtt

9.31KB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/5. Building Model Part3.mp4

48.52MB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/5. Building Model Part3.vtt

4.65KB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/6. Verification of Model.mp4

39.49MB

11. HotstarNetflix Real world Case Study for Multiple Linear Regression/6. Verification of Model.vtt

4.74KB

12. Gradient Descent/1.1 Gradient+Descent+Updated.zip.zip

161.15KB

12. Gradient Descent/1. Pre-Req For Gradient Descent Part1.mp4

61.24MB

12. Gradient Descent/1. Pre-Req For Gradient Descent Part1.vtt

17.58KB

12. Gradient Descent/2. Pre-Req For Gradient Descent Part2.mp4

32.9MB

12. Gradient Descent/2. Pre-Req For Gradient Descent Part2.vtt

8.96KB

12. Gradient Descent/3. Cost Functions.mp4

13.16MB

12. Gradient Descent/3. Cost Functions.vtt

2.83KB

12. Gradient Descent/4. Defining Cost Functions More Formally.mp4

36.51MB

12. Gradient Descent/4. Defining Cost Functions More Formally.vtt

8.59KB

12. Gradient Descent/5. Gradient Descent.mp4

37.66MB

12. Gradient Descent/5. Gradient Descent.vtt

12.51KB

12. Gradient Descent/6. Optimisation.mp4

21.68MB

12. Gradient Descent/6. Optimisation.vtt

5.06KB

12. Gradient Descent/7. Closed Form Vs Gradient Descent.mp4

26.61MB

12. Gradient Descent/7. Closed Form Vs Gradient Descent.vtt

5.77KB

12. Gradient Descent/8. Gradient Descent case study.mp4

71.66MB

12. Gradient Descent/8. Gradient Descent case study.vtt

6.85KB

13. KNN/10. Case Study.mp4

70.71MB

13. KNN/10. Case Study.vtt

10.8KB

13. KNN/11. Classification Case1.mp4

84.22MB

13. KNN/11. Classification Case1.vtt

25.01KB

13. KNN/1.1 KNN.zip.zip

1.34MB

13. KNN/12. Classification Case2.mp4

52.23MB

13. KNN/12. Classification Case2.vtt

16.93KB

13. KNN/13. Classification Case3.mp4

52.97MB

13. KNN/13. Classification Case3.vtt

15.21KB

13. KNN/14. Classification Case4.mp4

41.1MB

13. KNN/14. Classification Case4.vtt

13.79KB

13. KNN/1. Introduction to Classification.mp4

54.11MB

13. KNN/1. Introduction to Classification.vtt

15.53KB

13. KNN/2. Defining Classification Mathematically.mp4

39.99MB

13. KNN/2. Defining Classification Mathematically.vtt

9.02KB

13. KNN/3. Introduction to KNN.mp4

47.13MB

13. KNN/3. Introduction to KNN.vtt

13.69KB

13. KNN/4. Accuracy of KNN.mp4

57.16MB

13. KNN/4. Accuracy of KNN.vtt

14.85KB

13. KNN/5. Effectiveness of KNN.mp4

48.23MB

13. KNN/5. Effectiveness of KNN.vtt

15.86KB

13. KNN/6. Distance Metrics.mp4

47.9MB

13. KNN/6. Distance Metrics.vtt

14.65KB

13. KNN/7. Distance Metrics Part2.mp4

28.83MB

13. KNN/7. Distance Metrics Part2.vtt

9.26KB

13. KNN/8. Finding k.mp4

33.32MB

13. KNN/8. Finding k.vtt

11.49KB

13. KNN/9. KNN on Regression.mp4

9.28MB

13. KNN/9. KNN on Regression.vtt

2.92KB

14. Model Performance Metrics/1. Performance Metrics Part1.mp4

113.83MB

14. Model Performance Metrics/1. Performance Metrics Part1.vtt

27.14KB

14. Model Performance Metrics/2. Performance Metrics Part2.mp4

90.48MB

14. Model Performance Metrics/2. Performance Metrics Part2.vtt

19.15KB

14. Model Performance Metrics/3. Performance Metrics Part3.mp4

24.02MB

14. Model Performance Metrics/3. Performance Metrics Part3.vtt

6.24KB

15. Model Selection Part1/1.1 CrossValidation_Linear Regression.zip.zip

342.22KB

15. Model Selection Part1/1. Model Creation Case1.mp4

52.09MB

15. Model Selection Part1/1. Model Creation Case1.vtt

12.42KB

15. Model Selection Part1/2. Model Creation Case2.mp4

34.67MB

15. Model Selection Part1/2. Model Creation Case2.vtt

8.78KB

15. Model Selection Part1/3. Gridsearch Case study Part1.mp4

124.24MB

15. Model Selection Part1/3. Gridsearch Case study Part1.vtt

13.48KB

15. Model Selection Part1/4. Gridsearch Case study Part2.mp4

178.88MB

15. Model Selection Part1/4. Gridsearch Case study Part2.vtt

18.44KB

16. Naive Bayes/10. Case Study 2 Part1.mp4

74.57MB

16. Naive Bayes/10. Case Study 2 Part1.vtt

8.91KB

16. Naive Bayes/11. Case Study 2 Part2.mp4

25.35MB

16. Naive Bayes/11. Case Study 2 Part2.vtt

2.97KB

16. Naive Bayes/1.1 NaiveBayes.zip.zip

266.04KB

16. Naive Bayes/1. Introduction to Naive Bayes.mp4

73.37MB

16. Naive Bayes/1. Introduction to Naive Bayes.vtt

17.8KB

16. Naive Bayes/2. Bayes Theorem.mp4

63.05MB

16. Naive Bayes/2. Bayes Theorem.vtt

12.74KB

16. Naive Bayes/3. Practical Example from NB with One Column.mp4

80.59MB

16. Naive Bayes/3. Practical Example from NB with One Column.vtt

10.68KB

16. Naive Bayes/4. Practical Example from NB with Multiple Columns.mp4

59.83MB

16. Naive Bayes/4. Practical Example from NB with Multiple Columns.vtt

13.16KB

16. Naive Bayes/5. Naive Bayes On Text Data Part1.mp4

54.74MB

16. Naive Bayes/5. Naive Bayes On Text Data Part1.vtt

9.99KB

16. Naive Bayes/6. Naive Bayes On Text Data Part2.mp4

46.06MB

16. Naive Bayes/6. Naive Bayes On Text Data Part2.vtt

6.58KB

16. Naive Bayes/7. Laplace Smoothing.mp4

55.26MB

16. Naive Bayes/7. Laplace Smoothing.vtt

4.94KB

16. Naive Bayes/8. Bernoulli Naive Bayes.mp4

27.11MB

16. Naive Bayes/8. Bernoulli Naive Bayes.vtt

2.04KB

16. Naive Bayes/9. Case Study 1.mp4

95.46MB

16. Naive Bayes/9. Case Study 1.vtt

10.81KB

17. Logistic Regression/1.1 LogisticReg.zip.zip

983.68KB

17. Logistic Regression/1. Introduction.mp4

26.6MB

17. Logistic Regression/1. Introduction.vtt

8.18KB

17. Logistic Regression/2. Sigmoid Function.mp4

44.31MB

17. Logistic Regression/2. Sigmoid Function.vtt

11.63KB

17. Logistic Regression/3. Log Odds.mp4

41.83MB

17. Logistic Regression/3. Log Odds.vtt

10.91KB

17. Logistic Regression/4. Case Study.mp4

198.2MB

17. Logistic Regression/4. Case Study.vtt

20.41KB

18. Support Vector Machine (SVM)/10. Kernel Part2.mp4

71.13MB

18. Support Vector Machine (SVM)/10. Kernel Part2.vtt

12.68KB

18. Support Vector Machine (SVM)/11. Case Study 2.mp4

90MB

18. Support Vector Machine (SVM)/11. Case Study 2.vtt

8.36KB

18. Support Vector Machine (SVM)/1.1 SVM.zip.zip

15.41MB

18. Support Vector Machine (SVM)/12. Case Study 3 Part1.mp4

56.01MB

18. Support Vector Machine (SVM)/12. Case Study 3 Part1.vtt

9.92KB

18. Support Vector Machine (SVM)/13. Case Study 3 Part2.mp4

61.28MB

18. Support Vector Machine (SVM)/13. Case Study 3 Part2.vtt

6.24KB

18. Support Vector Machine (SVM)/14. Case Study 4.mp4

164.41MB

18. Support Vector Machine (SVM)/14. Case Study 4.vtt

20.37KB

18. Support Vector Machine (SVM)/1. Introduction.mp4

58.71MB

18. Support Vector Machine (SVM)/1. Introduction.vtt

13.72KB

18. Support Vector Machine (SVM)/2. Hyperplane Part1.mp4

27.07MB

18. Support Vector Machine (SVM)/2. Hyperplane Part1.vtt

6.11KB

18. Support Vector Machine (SVM)/3. Hyperplane Part2.mp4

65.32MB

18. Support Vector Machine (SVM)/3. Hyperplane Part2.vtt

16.77KB

18. Support Vector Machine (SVM)/4. Maths Behind SVM.mp4

24.04MB

18. Support Vector Machine (SVM)/4. Maths Behind SVM.vtt

8.15KB

18. Support Vector Machine (SVM)/5. Support Vectors.mp4

11.04MB

18. Support Vector Machine (SVM)/5. Support Vectors.vtt

3.95KB

18. Support Vector Machine (SVM)/6. Slack Variable.mp4

33.27MB

18. Support Vector Machine (SVM)/6. Slack Variable.vtt

10.22KB

18. Support Vector Machine (SVM)/7. SVM Case Study Part1.mp4

74.15MB

18. Support Vector Machine (SVM)/7. SVM Case Study Part1.vtt

6.49KB

18. Support Vector Machine (SVM)/8. SVM Case Study Part2.mp4

66.16MB

18. Support Vector Machine (SVM)/8. SVM Case Study Part2.vtt

8.41KB

18. Support Vector Machine (SVM)/9. Kernel Part1.mp4

49.24MB

18. Support Vector Machine (SVM)/9. Kernel Part1.vtt

9.36KB

19. Decision Tree/10. DT Case Study Part2.mp4

95.71MB

19. Decision Tree/10. DT Case Study Part2.vtt

10.91KB

19. Decision Tree/1.1 DT_forudemy.zip.zip

4.03MB

19. Decision Tree/1. Introduction.mp4

29.78MB

19. Decision Tree/1. Introduction.vtt

8.97KB

19. Decision Tree/2. Example of DT.mp4

40.59MB

19. Decision Tree/2. Example of DT.vtt

9.17KB

19. Decision Tree/3. Homogenity.mp4

20.61MB

19. Decision Tree/3. Homogenity.vtt

5.84KB

19. Decision Tree/4. Gini Index.mp4

44.19MB

19. Decision Tree/4. Gini Index.vtt

8.88KB

19. Decision Tree/5. Information Gain Part1.mp4

29.29MB

19. Decision Tree/5. Information Gain Part1.vtt

6.68KB

19. Decision Tree/6. Information Gain Part2.mp4

27.37MB

19. Decision Tree/6. Information Gain Part2.vtt

5.65KB

19. Decision Tree/7. Advantages and Disadvantages of DT.mp4

15.45MB

19. Decision Tree/7. Advantages and Disadvantages of DT.vtt

4.43KB

19. Decision Tree/8. Preventing Overfitting Issues in DT.mp4

40.29MB

19. Decision Tree/8. Preventing Overfitting Issues in DT.vtt

11.77KB

19. Decision Tree/9. DT Case Study Part1.mp4

125.45MB

19. Decision Tree/9. DT Case Study Part1.vtt

12.92KB

1. Python Fundamentals/10. Functions.mp4

85.62MB

1. Python Fundamentals/10. Functions.vtt

14.5KB

1. Python Fundamentals/11. String Part1.mp4

106.01MB

1. Python Fundamentals/11. String Part1.vtt

15.53KB

1. Python Fundamentals/12. String Part2.mp4

27.38MB

1. Python Fundamentals/12. String Part2.vtt

3.45KB

1. Python Fundamentals/13. List Part1.mp4

10.04MB

1. Python Fundamentals/13. List Part1.vtt

2.91KB

1. Python Fundamentals/14. List Part2.mp4

87.32MB

1. Python Fundamentals/14. List Part2.vtt

13.17KB

1. Python Fundamentals/15. List Part3.mp4

73.56MB

1. Python Fundamentals/15. List Part3.vtt

10.47KB

1. Python Fundamentals/16. List Part4.mp4

63.85MB

1. Python Fundamentals/16. List Part4.vtt

10.43KB

1. Python Fundamentals/17. Tuples.mp4

67.33MB

1. Python Fundamentals/17. Tuples.vtt

10.18KB

1. Python Fundamentals/18. Sets.mp4

58.16MB

1. Python Fundamentals/18. Sets.vtt

7.81KB

1. Python Fundamentals/19. Dictionaries.mp4

61.6MB

1. Python Fundamentals/19. Dictionaries.vtt

8.32KB

1. Python Fundamentals/1. Introduction to the course.mp4

93.85MB

1. Python Fundamentals/1. Introduction to the course.vtt

16.32KB

1. Python Fundamentals/20. Comprehentions.mp4

70.54MB

1. Python Fundamentals/20. Comprehentions.vtt

8.08KB

1. Python Fundamentals/2. Introduction to Kaggle.mp4

90.07MB

1. Python Fundamentals/2. Introduction to Kaggle.vtt

11.15KB

1. Python Fundamentals/3.1 Python-code-udemy.zip.zip

16.42KB

1. Python Fundamentals/3.2 Installing-Python.Teclov.pdf.pdf

1.37MB

1. Python Fundamentals/3. Installation of Python and Anaconda.mp4

82.29MB

1. Python Fundamentals/3. Installation of Python and Anaconda.vtt

11.12KB

1. Python Fundamentals/4.1 Python-code-udemy.zip.zip

16.42KB

1. Python Fundamentals/4. Python Introduction.mp4

10.25MB

1. Python Fundamentals/4. Python Introduction.vtt

3.54KB

1. Python Fundamentals/5. Variables in Python.mp4

110.46MB

1. Python Fundamentals/5. Variables in Python.vtt

20.73KB

1. Python Fundamentals/6. Numeric Operations in Python.mp4

36.92MB

1. Python Fundamentals/6. Numeric Operations in Python.vtt

7.14KB

1. Python Fundamentals/7. Logical Operations.mp4

17.32MB

1. Python Fundamentals/7. Logical Operations.vtt

3.22KB

1. Python Fundamentals/8. If else Loop.mp4

64.01MB

1. Python Fundamentals/8. If else Loop.vtt

10.03KB

1. Python Fundamentals/9. for while Loop.mp4

77.78MB

1. Python Fundamentals/9. for while Loop.vtt

12.99KB

20. Ensembling/10. Adaboost Part2.mp4

38.46MB

20. Ensembling/10. Adaboost Part2.vtt

7.93KB

20. Ensembling/11. Adaboost Case Study.mp4

53.65MB

20. Ensembling/11. Adaboost Case Study.vtt

6.01KB

20. Ensembling/1.1 Boosting.zip.zip

1.26MB

20. Ensembling/1.2 RF_forudemy.zip.zip

1.05MB

20. Ensembling/12. XGBoost.mp4

23.11MB

20. Ensembling/12. XGBoost.vtt

4.74KB

20. Ensembling/13. Boosting Part1.mp4

13.69MB

20. Ensembling/13. Boosting Part1.vtt

3.7KB

20. Ensembling/14. Boosting Part2.mp4

35.51MB

20. Ensembling/14. Boosting Part2.vtt

7.82KB

20. Ensembling/15. XGboost Algorithm.mp4

38.76MB

20. Ensembling/15. XGboost Algorithm.vtt

8.79KB

20. Ensembling/16. Case Study Part1.mp4

141.54MB

20. Ensembling/16. Case Study Part1.vtt

11.77KB

20. Ensembling/17. Case Study Part2.mp4

136.7MB

20. Ensembling/17. Case Study Part2.vtt

13.37KB

20. Ensembling/18. Case Study Part3.mp4

75.43MB

20. Ensembling/18. Case Study Part3.vtt

6.88KB

20. Ensembling/1. Introduction to Ensembles.mp4

39.28MB

20. Ensembling/1. Introduction to Ensembles.vtt

11.08KB

20. Ensembling/2. Bagging.mp4

71.21MB

20. Ensembling/2. Bagging.vtt

15.44KB

20. Ensembling/3. Advantages.mp4

14.87MB

20. Ensembling/3. Advantages.vtt

5.07KB

20. Ensembling/4. Runtime.mp4

16.38MB

20. Ensembling/4. Runtime.vtt

4.66KB

20. Ensembling/5. Case study.mp4

73.09MB

20. Ensembling/5. Case study.vtt

6.89KB

20. Ensembling/6. Introduction to Boosting.mp4

33.05MB

20. Ensembling/6. Introduction to Boosting.vtt

6.47KB

20. Ensembling/7. Weak Learners.mp4

17.9MB

20. Ensembling/7. Weak Learners.vtt

3.11KB

20. Ensembling/8. Shallow Decision Tree.mp4

14.96MB

20. Ensembling/8. Shallow Decision Tree.vtt

2.73KB

20. Ensembling/9. Adaboost Part1.mp4

41.53MB

20. Ensembling/9. Adaboost Part1.vtt

8.25KB

21. Model Selection Part2/1. Model Selection Part1.mp4

104.3MB

21. Model Selection Part2/1. Model Selection Part1.vtt

23.2KB

21. Model Selection Part2/2. Model Selection Part2.mp4

41.33MB

21. Model Selection Part2/2. Model Selection Part2.vtt

14.54KB

21. Model Selection Part2/3. Model Selection Part3.mp4

35.66MB

22. Unsupervised Learning/10. Case Study Part2.mp4

61.33MB

22. Unsupervised Learning/10. Case Study Part2.vtt

9.04KB

22. Unsupervised Learning/11. More on Segmentation.mp4

18.06MB

22. Unsupervised Learning/11. More on Segmentation.vtt

5.5KB

22. Unsupervised Learning/1.1 Unsupervised.zip.zip

7.38MB

22. Unsupervised Learning/12. Hierarchial Clustering.mp4

38.02MB

22. Unsupervised Learning/12. Hierarchial Clustering.vtt

9.03KB

22. Unsupervised Learning/13. Case Study.mp4

34.4MB

22. Unsupervised Learning/13. Case Study.vtt

6.54KB

22. Unsupervised Learning/1. Introduction to Clustering.mp4

59.13MB

22. Unsupervised Learning/1. Introduction to Clustering.vtt

12.68KB

22. Unsupervised Learning/2. Segmentation.mp4

28.65MB

22. Unsupervised Learning/2. Segmentation.vtt

8.7KB

22. Unsupervised Learning/3. Kmeans.mp4

57.71MB

22. Unsupervised Learning/3. Kmeans.vtt

10.13KB

22. Unsupervised Learning/4. Maths Behind Kmeans.mp4

53.75MB

22. Unsupervised Learning/4. Maths Behind Kmeans.vtt

13.18KB

22. Unsupervised Learning/5. More Maths.mp4

9.43MB

22. Unsupervised Learning/5. More Maths.vtt

2.91KB

22. Unsupervised Learning/6. Kmeans plus.mp4

51.78MB

22. Unsupervised Learning/6. Kmeans plus.vtt

11.43KB

22. Unsupervised Learning/7. Value of K.mp4

35.82MB

22. Unsupervised Learning/7. Value of K.vtt

7.62KB

22. Unsupervised Learning/8. Hopkins test.mp4

12.27MB

22. Unsupervised Learning/8. Hopkins test.vtt

3.02KB

22. Unsupervised Learning/9. Case Study Part1.mp4

95.82MB

22. Unsupervised Learning/9. Case Study Part1.vtt

13.18KB

23. Dimension Reduction/1.1 PCA code for udemy.zip.zip

9.06MB

23. Dimension Reduction/1. Introduction.mp4

156.68MB

23. Dimension Reduction/1. Introduction.vtt

32.17KB

23. Dimension Reduction/2. PCA.mp4

98.39MB

23. Dimension Reduction/2. PCA.vtt

26.45KB

23. Dimension Reduction/3. Maths Behind PCA.mp4

96.82MB

23. Dimension Reduction/3. Maths Behind PCA.vtt

25.52KB

23. Dimension Reduction/4. Case Study Part1.mp4

45.47MB

23. Dimension Reduction/4. Case Study Part1.vtt

6.08KB

23. Dimension Reduction/5. Case Study Part2.mp4

123.06MB

23. Dimension Reduction/5. Case Study Part2.vtt

18.98KB

24. Advanced Machine Learning Algorithms/10. Adjusted R Square.mp4

20.13MB

24. Advanced Machine Learning Algorithms/10. Adjusted R Square.vtt

4.09KB

24. Advanced Machine Learning Algorithms/1.1 AdvanceReg.zip.zip

1.11MB

24. Advanced Machine Learning Algorithms/1. Introduction.mp4

30.94MB

24. Advanced Machine Learning Algorithms/1. Introduction.vtt

7.18KB

24. Advanced Machine Learning Algorithms/2. Example Part1.mp4

27.48MB

24. Advanced Machine Learning Algorithms/2. Example Part1.vtt

6.03KB

24. Advanced Machine Learning Algorithms/3. Example Part2.mp4

45.11MB

24. Advanced Machine Learning Algorithms/3. Example Part2.vtt

10.74KB

24. Advanced Machine Learning Algorithms/4. Optimal Solution.mp4

65.23MB

24. Advanced Machine Learning Algorithms/4. Optimal Solution.vtt

16.71KB

24. Advanced Machine Learning Algorithms/5. Case study.mp4

39.97MB

24. Advanced Machine Learning Algorithms/5. Case study.vtt

4.21KB

24. Advanced Machine Learning Algorithms/6. Regularization.mp4

48.6MB

24. Advanced Machine Learning Algorithms/6. Regularization.vtt

10.32KB

24. Advanced Machine Learning Algorithms/7. Ridge and Lasso.mp4

39.95MB

24. Advanced Machine Learning Algorithms/7. Ridge and Lasso.vtt

7.7KB

24. Advanced Machine Learning Algorithms/8. Case Study.mp4

106.22MB

24. Advanced Machine Learning Algorithms/8. Case Study.vtt

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