Skip to content

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

Sign up to create lists
Report [Tutorialsplanet NET] Udemy - Machine Learning Practical 6 Real-World Applications
Unverified source. This magnet is from an unverified source. The content may be unsafe or mislabeled. Proceed with caution.
Title: Udemy - Machine Learning Practical 6 RealGroup: ApplicationsSource: Udemy
Info Hash
32422335231F5ECC849E3FFBA44892BD46D83DFF
Source
Unverified
Total Size
4.05 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Introduction/1. Welcome to the course!.mp436.75 MB
1. Introduction/1. Welcome to the course!.vtt2.33 KB
1. Introduction/2. Where to get the materials.html128 B
2. Breast Cancer Classification/1. Introduction.mp414.97 MB
2. Breast Cancer Classification/1. Introduction.vtt1 KB
2. Breast Cancer Classification/2. Business Challenge.mp460.98 MB
2. Breast Cancer Classification/2. Business Challenge.vtt3.73 KB
2. Breast Cancer Classification/3. Updates on Udemy Reviews.mp456.12 MB
2. Breast Cancer Classification/3. Updates on Udemy Reviews.vtt3.53 KB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp479.06 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.vtt9.96 KB
2. Breast Cancer Classification/5. Data Visualisation.mp4140.5 MB
2. Breast Cancer Classification/5. Data Visualisation.vtt22.98 KB
2. Breast Cancer Classification/6. Model Training.mp470.94 MB
2. Breast Cancer Classification/6. Model Training.vtt11.03 KB
2. Breast Cancer Classification/7. Model Evaluation.mp491.38 MB
2. Breast Cancer Classification/7. Model Evaluation.vtt14.36 KB
2. Breast Cancer Classification/8. Improving the Model.mp4189.77 MB
2. Breast Cancer Classification/8. Improving the Model.vtt29.08 KB
2. Breast Cancer Classification/9. Conclusion.mp424.04 MB
2. Breast Cancer Classification/9. Conclusion.vtt3.57 KB
3. Fashion Class Classification/1. Business Challenge.mp492.22 MB
3. Fashion Class Classification/1. Business Challenge.vtt5.81 KB
3. Fashion Class Classification/10. Conclusion.mp455.27 MB
3. Fashion Class Classification/10. Conclusion.vtt4.61 KB
3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.mp469.24 MB
3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.vtt8.45 KB
3. Fashion Class Classification/3. Data Visualisation.mp4130.14 MB
3. Fashion Class Classification/3. Data Visualisation.vtt19.92 KB
3. Fashion Class Classification/4. Model Training Part I.mp4103.76 MB
3. Fashion Class Classification/4. Model Training Part I.vtt11.81 KB
3. Fashion Class Classification/5. Model Training Part II.mp478.3 MB
3. Fashion Class Classification/5. Model Training Part II.vtt10.09 KB
3. Fashion Class Classification/6. Model Training Part III.mp4125.99 MB
3. Fashion Class Classification/6. Model Training Part III.vtt14.38 KB
3. Fashion Class Classification/7. Model Training Part IV.mp4128.19 MB
3. Fashion Class Classification/7. Model Training Part IV.vtt19.41 KB
3. Fashion Class Classification/8. Model Evaluation.mp473.61 MB
3. Fashion Class Classification/8. Model Evaluation.vtt12.24 KB
3. Fashion Class Classification/9. Improving the Model.mp431.62 MB
3. Fashion Class Classification/9. Improving the Model.vtt3.49 KB
4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.mp414.63 MB
4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.vtt2.02 KB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp472.33 MB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.vtt12.97 KB
4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.mp429.99 MB
4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.vtt4.06 KB
4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.mp419.05 MB
4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.vtt2.43 KB
4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.mp418.28 MB
4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.vtt2.32 KB
4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.mp453.63 MB
4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.vtt4.06 KB
4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.mp460.84 MB
4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.vtt9.74 KB
4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.mp422.04 MB
4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.vtt5.51 KB
4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.mp432.28 MB
4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.vtt8.3 KB
4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.mp454.89 MB
4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.vtt9.74 KB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp471.04 MB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.vtt10.33 KB
4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.mp460.65 MB
4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.vtt9.8 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.mp419.6 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.vtt2.51 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.mp451.26 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.vtt9.48 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.mp431.69 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.vtt5.24 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.mp464.3 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.vtt8.69 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.mp438.42 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.vtt5.25 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.mp424.29 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.vtt3.1 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp477.48 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.vtt9.79 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.mp432.56 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.vtt5.69 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.mp450.24 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.vtt10.75 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.mp470.58 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.vtt10.65 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.mp448.74 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.vtt9.36 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.mp456.1 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.vtt11.73 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.mp442.89 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.vtt6.52 KB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp479.72 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.vtt10.94 KB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp475.13 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.vtt9.6 KB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp493.45 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.vtt11.6 KB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp474.43 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.vtt13.99 KB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp498.07 MB

Trackers

No trackers found.