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[FreeCourseLab.com] Udemy - Machine Learning Practical 6 Real-World Applications
magnet:?xt=urn:btih:2353c63ef2d30f173528b6c4bba5eabeba4b9311&dn=[FreeCourseLab.com] Udemy - Machine Learning Practical 6 Real-World Applications
磁力链接详情
Hash值:
2353c63ef2d30f173528b6c4bba5eabeba4b9311
点击数:
199
文件大小:
4.05 GB
文件数量:
78
创建日期:
2019-2-16 12:21
最后访问:
2024-9-22 13:14
访问标签:
FreeCourseLab
com
Udemy
-
Machine
Learning
Practical
6
Real-World
Applications
文件列表详情
1. Introduction/1. Welcome to the course!.mp4 36.75 MB
2. Breast Cancer Classification/1. Introduction.mp4 14.97 MB
2. Breast Cancer Classification/2. Business Challenge.mp4 60.98 MB
2. Breast Cancer Classification/3. Updates on Udemy Reviews.mp4 56.12 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4 79.06 MB
2. Breast Cancer Classification/5. Data Visualisation.mp4 140.5 MB
2. Breast Cancer Classification/6. Model Training.mp4 70.94 MB
2. Breast Cancer Classification/7. Model Evaluation.mp4 91.38 MB
2. Breast Cancer Classification/8. Improving the Model.mp4 189.77 MB
2. Breast Cancer Classification/9. Conclusion.mp4 24.04 MB
3. Fashion Class Classification/1. Business Challenge.mp4 92.22 MB
3. Fashion Class Classification/10. Conclusion.mp4 55.27 MB
3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.mp4 69.24 MB
3. Fashion Class Classification/3. Data Visualisation.mp4 130.14 MB
3. Fashion Class Classification/4. Model Training Part I.mp4 103.76 MB
3. Fashion Class Classification/5. Model Training Part II.mp4 78.3 MB
3. Fashion Class Classification/6. Model Training Part III.mp4 125.99 MB
3. Fashion Class Classification/7. Model Training Part IV.mp4 128.19 MB
3. Fashion Class Classification/8. Model Evaluation.mp4 73.61 MB
3. Fashion Class Classification/9. Improving the Model.mp4 31.62 MB
4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.mp4 14.63 MB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp4 72.33 MB
4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.mp4 29.99 MB
4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.mp4 19.05 MB
4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.mp4 18.28 MB
4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.mp4 53.63 MB
4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.mp4 60.84 MB
4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.mp4 22.04 MB
4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.mp4 32.28 MB
4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.mp4 54.89 MB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp4 71.04 MB
4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.mp4 60.65 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.mp4 19.6 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.mp4 51.26 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.mp4 31.69 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.mp4 64.3 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.mp4 38.42 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.mp4 24.29 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4 77.48 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.mp4 32.56 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.mp4 50.24 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.mp4 70.58 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.mp4 48.74 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.mp4 56.1 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.mp4 42.89 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4 79.72 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4 75.13 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4 93.45 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4 74.43 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4 98.07 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/13. Model Conclusion.mp4 18.31 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/14. Final Remarks.mp4 30.57 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4 101.91 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/3. Data Housekeeping.mp4 44.08 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/4. Histograms.mp4 50.81 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/5. Correlation Plot.mp4 24.28 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/6. Correlation Matrix.mp4 33.41 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/7. Feature Engineering.mp4 23.47 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/8. Data Preprocessing.mp4 60.17 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/9. Model Building Part 1.mp4 58.77 MB
7. Credit Card Fraud Detection/1. Case Study.mp4 30.08 MB
7. Credit Card Fraud Detection/10. Metrics.mp4 15.11 MB
7. Credit Card Fraud Detection/11. Confusion Matrix.mp4 40.06 MB
7. Credit Card Fraud Detection/12. Machine Learning Classifiers.mp4 34.17 MB
7. Credit Card Fraud Detection/13. Random Forest.mp4 31.02 MB
7. Credit Card Fraud Detection/14. Decision Trees.mp4 18.77 MB
7. Credit Card Fraud Detection/15. Sampling.mp4 7.74 MB
7. Credit Card Fraud Detection/16. Undersampling.mp4 36.92 MB
7. Credit Card Fraud Detection/17. Smote.mp4 35.71 MB
7. Credit Card Fraud Detection/18. Final remarks.mp4 19.06 MB
7. Credit Card Fraud Detection/2. Machine Learning Vocabulary.mp4 22.95 MB
7. Credit Card Fraud Detection/3. Set Up.mp4 23.92 MB
7. Credit Card Fraud Detection/4. Data Visualization.mp4 20.4 MB
7. Credit Card Fraud Detection/5. Data Preprocessing.mp4 39.03 MB
7. Credit Card Fraud Detection/6. Deep Learning Part 1.mp4 23.22 MB
7. Credit Card Fraud Detection/7. Deep Learning Part 2.mp4 48.19 MB
7. Credit Card Fraud Detection/8. Splitting the Data.mp4 38.21 MB
7. Credit Card Fraud Detection/9. Training.mp4 21.19 MB
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