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[Tutorialsplanet.NET] Udemy - Machine Learning Practical 6 Real-World Applications
- Date: 2026-03-26
- Size: 4.0 GB
- Files: 158
File Name
Size
1. Introduction/1. Welcome to the course!.mp4
37 MB
1. Introduction/1. Welcome to the course!.vtt
2.3 kB
1. Introduction/2. Where to get the materials.html
128 B
2. Breast Cancer Classification/1. Introduction.mp4
15 MB
2. Breast Cancer Classification/1. Introduction.vtt
1.0 kB
2. Breast Cancer Classification/2. Business Challenge.mp4
61 MB
2. Breast Cancer Classification/2. Business Challenge.vtt
3.7 kB
2. Breast Cancer Classification/3. Updates on Udemy Reviews.mp4
56 MB
2. Breast Cancer Classification/3. Updates on Udemy Reviews.vtt
3.5 kB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4
79 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.vtt
10 kB
2. Breast Cancer Classification/5. Data Visualisation.mp4
140 MB
2. Breast Cancer Classification/5. Data Visualisation.vtt
23 kB
2. Breast Cancer Classification/6. Model Training.mp4
71 MB
2. Breast Cancer Classification/6. Model Training.vtt
11 kB
2. Breast Cancer Classification/7. Model Evaluation.mp4
91 MB
2. Breast Cancer Classification/7. Model Evaluation.vtt
14 kB
2. Breast Cancer Classification/8. Improving the Model.mp4
190 MB
2. Breast Cancer Classification/8. Improving the Model.vtt
29 kB
2. Breast Cancer Classification/9. Conclusion.mp4
24 MB
2. Breast Cancer Classification/9. Conclusion.vtt
3.6 kB
3. Fashion Class Classification/1. Business Challenge.mp4
92 MB
3. Fashion Class Classification/1. Business Challenge.vtt
5.8 kB
3. Fashion Class Classification/10. Conclusion.mp4
55 MB
3. Fashion Class Classification/10. Conclusion.vtt
4.6 kB
3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.mp4
69 MB
3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.vtt
8.4 kB
3. Fashion Class Classification/3. Data Visualisation.mp4
130 MB
3. Fashion Class Classification/3. Data Visualisation.vtt
20 kB
3. Fashion Class Classification/4. Model Training Part I.mp4
104 MB
3. Fashion Class Classification/4. Model Training Part I.vtt
12 kB
3. Fashion Class Classification/5. Model Training Part II.mp4
78 MB
3. Fashion Class Classification/5. Model Training Part II.vtt
10 kB
3. Fashion Class Classification/6. Model Training Part III.mp4
126 MB
3. Fashion Class Classification/6. Model Training Part III.vtt
14 kB
3. Fashion Class Classification/7. Model Training Part IV.mp4
128 MB
3. Fashion Class Classification/7. Model Training Part IV.vtt
19 kB
3. Fashion Class Classification/8. Model Evaluation.mp4
74 MB
3. Fashion Class Classification/8. Model Evaluation.vtt
12 kB
3. Fashion Class Classification/9. Improving the Model.mp4
32 MB
3. Fashion Class Classification/9. Improving the Model.vtt
3.5 kB
4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.mp4
15 MB
4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.vtt
2.0 kB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp4
72 MB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.vtt
13 kB
4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.mp4
30 MB
4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.vtt
4.1 kB
4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.mp4
19 MB
4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.vtt
2.4 kB
4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.mp4
18 MB
4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.vtt
2.3 kB
4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.mp4
54 MB
4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.vtt
4.1 kB
4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.mp4
61 MB
4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.vtt
9.7 kB
4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.mp4
22 MB
4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.vtt
5.5 kB
4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.mp4
32 MB
4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.vtt
8.3 kB
4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.mp4
55 MB
4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.vtt
9.7 kB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp4
71 MB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.vtt
10 kB
4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.mp4
61 MB
4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.vtt
9.8 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.mp4
20 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.vtt
2.5 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.mp4
51 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.vtt
9.5 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.mp4
32 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.vtt
5.2 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.mp4
64 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.vtt
8.7 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.mp4
38 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.vtt
5.3 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.mp4
24 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.vtt
3.1 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4
78 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.vtt
9.8 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.mp4
33 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.vtt
5.7 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.mp4
50 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.vtt
11 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.mp4
71 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.vtt
11 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.mp4
49 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.vtt
9.4 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.mp4
56 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.vtt
12 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.mp4
43 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.vtt
6.5 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4
80 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.vtt
11 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4
75 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.vtt
9.6 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4
94 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.vtt
12 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4
74 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.vtt
14 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4
98 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.vtt
11 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/13. Model Conclusion.mp4
18 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/13. Model Conclusion.vtt
3.4 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/14. Final Remarks.mp4
31 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/14. Final Remarks.vtt
4.1 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4
102 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.vtt
9.8 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/3. Data Housekeeping.mp4
44 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/3. Data Housekeeping.vtt
6.9 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/4. Histograms.mp4
51 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/4. Histograms.vtt
13 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/5. Correlation Plot.mp4
24 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/5. Correlation Plot.vtt
6.6 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/6. Correlation Matrix.mp4
33 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/6. Correlation Matrix.vtt
9.1 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/7. Feature Engineering.mp4
24 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/7. Feature Engineering.vtt
6.6 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/8. Data Preprocessing.mp4
60 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/8. Data Preprocessing.vtt
11 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/9. Model Building Part 1.mp4
59 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/9. Model Building Part 1.vtt
8.0 kB
7. Credit Card Fraud Detection/1. Case Study.mp4
30 MB
7. Credit Card Fraud Detection/1. Case Study.vtt
3.5 kB
7. Credit Card Fraud Detection/10. Metrics.mp4
15 MB
7. Credit Card Fraud Detection/10. Metrics.vtt
4.0 kB
7. Credit Card Fraud Detection/11. Confusion Matrix.mp4
40 MB
7. Credit Card Fraud Detection/11. Confusion Matrix.vtt
4.0 kB
7. Credit Card Fraud Detection/12. Machine Learning Classifiers.mp4
34 MB
7. Credit Card Fraud Detection/12. Machine Learning Classifiers.vtt
7.7 kB
7. Credit Card Fraud Detection/13. Random Forest.mp4
31 MB
7. Credit Card Fraud Detection/13. Random Forest.vtt
3.1 kB
7. Credit Card Fraud Detection/14. Decision Trees.mp4
19 MB
7. Credit Card Fraud Detection/14. Decision Trees.vtt
2.6 kB
7. Credit Card Fraud Detection/15. Sampling.mp4
7.7 MB
7. Credit Card Fraud Detection/15. Sampling.vtt
2.1 kB
7. Credit Card Fraud Detection/16. Undersampling.mp4
37 MB
7. Credit Card Fraud Detection/16. Undersampling.vtt
2.6 kB
7. Credit Card Fraud Detection/17. Smote.mp4
36 MB
7. Credit Card Fraud Detection/17. Smote.vtt
2.5 kB
7. Credit Card Fraud Detection/18. Final remarks.mp4
19 MB
7. Credit Card Fraud Detection/18. Final remarks.vtt
3.1 kB
7. Credit Card Fraud Detection/2. Machine Learning Vocabulary.mp4
23 MB
7. Credit Card Fraud Detection/2. Machine Learning Vocabulary.vtt
3.3 kB
7. Credit Card Fraud Detection/3. Set Up.mp4
24 MB
7. Credit Card Fraud Detection/3. Set Up.vtt
3.3 kB
7. Credit Card Fraud Detection/4. Data Visualization.mp4
20 MB
7. Credit Card Fraud Detection/4. Data Visualization.vtt
2.4 kB
7. Credit Card Fraud Detection/5. Data Preprocessing.mp4
39 MB
7. Credit Card Fraud Detection/5. Data Preprocessing.vtt
2.9 kB
7. Credit Card Fraud Detection/6. Deep Learning Part 1.mp4
23 MB
7. Credit Card Fraud Detection/6. Deep Learning Part 1.vtt
3.4 kB
7. Credit Card Fraud Detection/7. Deep Learning Part 2.mp4
48 MB
7. Credit Card Fraud Detection/7. Deep Learning Part 2.vtt
7.4 kB
7. Credit Card Fraud Detection/8. Splitting the Data.mp4
38 MB
7. Credit Card Fraud Detection/8. Splitting the Data.vtt
4.1 kB
7. Credit Card Fraud Detection/9. Training.mp4
21 MB
7. Credit Card Fraud Detection/9. Training.vtt
1.9 kB
[Tutorialsplanet.NET].url
128 B