[Tutorialsplanet.NET] Udemy - Machine Learning Practical 6 Real-World Applications torrent, magnet, bt

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[Tutorialsplanet.NET] Udemy - Machine Learning Practical 6 Real-World Applications

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Number of Files:

158

Content Size:

4.05GB

Convert On:

2019-11-20

Keywords:

Tutorialsplanet NET Udemy Machine Learning Practical Real World Applications

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File Name

Size

1. Introduction/1. Welcome to the course!.mp4

36.75MB

1. Introduction/1. Welcome to the course!.vtt

2.33KB

1. Introduction/2. Where to get the materials.html

128B

2. Breast Cancer Classification/1. Introduction.mp4

14.97MB

2. Breast Cancer Classification/1. Introduction.vtt

1KB

2. Breast Cancer Classification/2. Business Challenge.mp4

60.98MB

2. Breast Cancer Classification/2. Business Challenge.vtt

3.73KB

2. Breast Cancer Classification/3. Updates on Udemy Reviews.mp4

56.12MB

2. Breast Cancer Classification/3. Updates on Udemy Reviews.vtt

3.53KB

2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4

79.06MB

2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.vtt

9.96KB

2. Breast Cancer Classification/5. Data Visualisation.mp4

140.5MB

2. Breast Cancer Classification/5. Data Visualisation.vtt

22.98KB

2. Breast Cancer Classification/6. Model Training.mp4

70.94MB

2. Breast Cancer Classification/6. Model Training.vtt

11.03KB

2. Breast Cancer Classification/7. Model Evaluation.mp4

91.38MB

2. Breast Cancer Classification/7. Model Evaluation.vtt

14.36KB

2. Breast Cancer Classification/8. Improving the Model.mp4

189.77MB

2. Breast Cancer Classification/8. Improving the Model.vtt

29.08KB

2. Breast Cancer Classification/9. Conclusion.mp4

24.04MB

2. Breast Cancer Classification/9. Conclusion.vtt

3.57KB

3. Fashion Class Classification/1. Business Challenge.mp4

92.22MB

3. Fashion Class Classification/1. Business Challenge.vtt

5.81KB

3. Fashion Class Classification/10. Conclusion.mp4

55.27MB

3. Fashion Class Classification/10. Conclusion.vtt

4.61KB

3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.mp4

69.24MB

3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.vtt

8.45KB

3. Fashion Class Classification/3. Data Visualisation.mp4

130.14MB

3. Fashion Class Classification/3. Data Visualisation.vtt

19.92KB

3. Fashion Class Classification/4. Model Training Part I.mp4

103.76MB

3. Fashion Class Classification/4. Model Training Part I.vtt

11.81KB

3. Fashion Class Classification/5. Model Training Part II.mp4

78.3MB

3. Fashion Class Classification/5. Model Training Part II.vtt

10.09KB

3. Fashion Class Classification/6. Model Training Part III.mp4

125.99MB

3. Fashion Class Classification/6. Model Training Part III.vtt

14.38KB

3. Fashion Class Classification/7. Model Training Part IV.mp4

128.19MB

3. Fashion Class Classification/7. Model Training Part IV.vtt

19.41KB

3. Fashion Class Classification/8. Model Evaluation.mp4

73.61MB

3. Fashion Class Classification/8. Model Evaluation.vtt

12.24KB

3. Fashion Class Classification/9. Improving the Model.mp4

31.62MB

3. Fashion Class Classification/9. Improving the Model.vtt

3.49KB

4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.mp4

14.63MB

4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.vtt

2.02KB

4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp4

72.33MB

4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.vtt

12.97KB

4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.mp4

29.99MB

4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.vtt

4.06KB

4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.mp4

19.05MB

4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.vtt

2.43KB

4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.mp4

18.28MB

4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.vtt

2.32KB

4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.mp4

53.63MB

4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.vtt

4.06KB

4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.mp4

60.84MB

4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.vtt

9.74KB

4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.mp4

22.04MB

4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.vtt

5.51KB

4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.mp4

32.28MB

4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.vtt

8.3KB

4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.mp4

54.89MB

4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.vtt

9.74KB

4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp4

71.04MB

4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.vtt

10.33KB

4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.mp4

60.65MB

4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.vtt

9.8KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.mp4

19.6MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.vtt

2.51KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.mp4

51.26MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.vtt

9.48KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.mp4

31.69MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.vtt

5.24KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.mp4

64.3MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.vtt

8.69KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.mp4

38.42MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.vtt

5.25KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.mp4

24.29MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.vtt

3.1KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4

77.48MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.vtt

9.79KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.mp4

32.56MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.vtt

5.69KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.mp4

50.24MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.vtt

10.75KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.mp4

70.58MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.vtt

10.65KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.mp4

48.74MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.vtt

9.36KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.mp4

56.1MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.vtt

11.73KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.mp4

42.89MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.vtt

6.52KB

5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4

79.72MB

5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.vtt

10.94KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4

75.13MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.vtt

9.6KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4

93.45MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.vtt

11.6KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4

74.43MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.vtt

13.99KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4

98.07MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.vtt

11.23KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/13. Model Conclusion.mp4

18.31MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/13. Model Conclusion.vtt

3.44KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/14. Final Remarks.mp4

30.57MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/14. Final Remarks.vtt

4.11KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4

101.91MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.vtt

9.82KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/3. Data Housekeeping.mp4

44.08MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/3. Data Housekeeping.vtt

6.85KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/4. Histograms.mp4

50.81MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/4. Histograms.vtt

12.62KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/5. Correlation Plot.mp4

24.28MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/5. Correlation Plot.vtt

6.59KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/6. Correlation Matrix.mp4

33.41MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/6. Correlation Matrix.vtt

9.12KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/7. Feature Engineering.mp4

23.47MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/7. Feature Engineering.vtt

6.58KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/8. Data Preprocessing.mp4

60.17MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/8. Data Preprocessing.vtt

10.96KB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/9. Model Building Part 1.mp4

58.77MB

6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/9. Model Building Part 1.vtt

8.03KB

7. Credit Card Fraud Detection/1. Case Study.mp4

30.08MB

7. Credit Card Fraud Detection/1. Case Study.vtt

3.53KB

7. Credit Card Fraud Detection/10. Metrics.mp4

15.11MB

7. Credit Card Fraud Detection/10. Metrics.vtt

3.95KB

7. Credit Card Fraud Detection/11. Confusion Matrix.mp4

40.06MB

7. Credit Card Fraud Detection/11. Confusion Matrix.vtt

4.02KB

7. Credit Card Fraud Detection/12. Machine Learning Classifiers.mp4

34.17MB

7. Credit Card Fraud Detection/12. Machine Learning Classifiers.vtt

7.73KB

7. Credit Card Fraud Detection/13. Random Forest.mp4

31.02MB

7. Credit Card Fraud Detection/13. Random Forest.vtt

3.1KB

7. Credit Card Fraud Detection/14. Decision Trees.mp4

18.77MB

7. Credit Card Fraud Detection/14. Decision Trees.vtt

2.58KB

7. Credit Card Fraud Detection/15. Sampling.mp4

7.74MB

7. Credit Card Fraud Detection/15. Sampling.vtt

2.08KB

7. Credit Card Fraud Detection/16. Undersampling.mp4

36.92MB

7. Credit Card Fraud Detection/16. Undersampling.vtt

2.58KB

7. Credit Card Fraud Detection/17. Smote.mp4

35.71MB

7. Credit Card Fraud Detection/17. Smote.vtt

2.45KB

7. Credit Card Fraud Detection/18. Final remarks.mp4

19.06MB

7. Credit Card Fraud Detection/18. Final remarks.vtt

3.05KB

7. Credit Card Fraud Detection/2. Machine Learning Vocabulary.mp4

22.95MB

7. Credit Card Fraud Detection/2. Machine Learning Vocabulary.vtt

3.31KB

7. Credit Card Fraud Detection/3. Set Up.mp4

23.92MB

7. Credit Card Fraud Detection/3. Set Up.vtt

3.25KB

7. Credit Card Fraud Detection/4. Data Visualization.mp4

20.4MB

7. Credit Card Fraud Detection/4. Data Visualization.vtt

2.42KB

7. Credit Card Fraud Detection/5. Data Preprocessing.mp4

39.03MB

7. Credit Card Fraud Detection/5. Data Preprocessing.vtt

2.92KB

7. Credit Card Fraud Detection/6. Deep Learning Part 1.mp4

23.22MB

7. Credit Card Fraud Detection/6. Deep Learning Part 1.vtt

3.44KB

7. Credit Card Fraud Detection/7. Deep Learning Part 2.mp4

48.19MB

7. Credit Card Fraud Detection/7. Deep Learning Part 2.vtt

7.43KB

7. Credit Card Fraud Detection/8. Splitting the Data.mp4

38.21MB

7. Credit Card Fraud Detection/8. Splitting the Data.vtt

4.08KB

7. Credit Card Fraud Detection/9. Training.mp4

21.19MB

7. Credit Card Fraud Detection/9. Training.vtt

1.86KB

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