[DesireCourse.Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost torrent, magnet, bt

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[DesireCourse.Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

magnet:?xt=urn:btih:C36599619801D7FB84E1C3D652DA4BB26CA9AFCD&dn=%5BDesireCourse.Com%5D%20Udemy%20-%20%20Ensemble%20Machine%20Learning%20in%20Python%20Random%20Forest%2C%20AdaBoost

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C36599619801D7FB84E1C3D652DA4BB26CA9AFCD

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Content Size:

826.29MB

Convert On:

2019-07-13

Keywords:

DesireCourse Com Udemy Ensemble Machine Learning in Python Random Forest AdaBoost

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magnet:?xt=urn:btih:C36599619801D7FB84E1C3D652DA4BB26CA9AFCD&dn=%5BDesireCourse.Com%5D%20Udemy%20-%20%20Ensemble%20Machine%20Learning%20in%20Python%20Random%20Forest%2C%20AdaBoost

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File Name

Size

1. Get Started/1. Outline and Motivation.mp4

7.2MB

1. Get Started/1. Outline and Motivation.vtt

6.02KB

1. Get Started/2. Where to get the Code and Data.mp4

3.36MB

1. Get Started/2. Where to get the Code and Data.vtt

2.55KB

1. Get Started/3. All Data is the Same.mp4

5.25MB

1. Get Started/3. All Data is the Same.vtt

3.94KB

1. Get Started/4. Plug-and-Play.mp4

3.51MB

1. Get Started/4. Plug-and-Play.vtt

2.58KB

2. Bias-Variance Trade-Off/1. Bias-Variance Key Terms.mp4

10.23MB

2. Bias-Variance Trade-Off/1. Bias-Variance Key Terms.vtt

7.84KB

2. Bias-Variance Trade-Off/2. Bias-Variance Trade-Off.mp4

4.89MB

2. Bias-Variance Trade-Off/2. Bias-Variance Trade-Off.vtt

3.57KB

2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.mp4

5.37MB

2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.vtt

3.51KB

2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4

41.75MB

2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.vtt

11.45KB

2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4

13.86MB

2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.vtt

5.06KB

2. Bias-Variance Trade-Off/6. Cross-Validation as a Method for Optimizing Model Complexity.mp4

6.97MB

2. Bias-Variance Trade-Off/6. Cross-Validation as a Method for Optimizing Model Complexity.vtt

5.1KB

3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4

47.72MB

3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.vtt

11.03KB

3. Bootstrap Estimates and Bagging/2. Bootstrap Demo.mp4

10.95MB

3. Bootstrap Estimates and Bagging/2. Bootstrap Demo.vtt

3.62KB

3. Bootstrap Estimates and Bagging/3. Bagging.mp4

3.93MB

3. Bootstrap Estimates and Bagging/3. Bagging.vtt

2.7KB

3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4

15.87MB

3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.vtt

4.04KB

3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4

20.32MB

3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.vtt

4.76KB

3. Bootstrap Estimates and Bagging/6. Stacking.mp4

6.07MB

3. Bootstrap Estimates and Bagging/6. Stacking.vtt

4.47KB

4. Random Forest/1. Random Forest Algorithm.mp4

14.42MB

4. Random Forest/1. Random Forest Algorithm.vtt

10.71KB

4. Random Forest/2. Random Forest Regressor.mp4

14.89MB

4. Random Forest/2. Random Forest Regressor.vtt

7.47KB

4. Random Forest/3. Random Forest Classifier.mp4

12.59MB

4. Random Forest/3. Random Forest Classifier.vtt

5KB

4. Random Forest/4. Random Forest vs Bagging Trees.mp4

7.82MB

4. Random Forest/4. Random Forest vs Bagging Trees.vtt

3.9KB

4. Random Forest/5. Implementing a Not as Random Forest.mp4

8.69MB

4. Random Forest/5. Implementing a Not as Random Forest.vtt

4.42KB

4. Random Forest/6. Connection to Deep Learning Dropout.mp4

4.22MB

4. Random Forest/6. Connection to Deep Learning Dropout.vtt

2.85KB

5. AdaBoost/1. AdaBoost Algorithm.mp4

10.89MB

5. AdaBoost/1. AdaBoost Algorithm.vtt

7.96KB

5. AdaBoost/2. Additive Modeling.mp4

2.8MB

5. AdaBoost/2. Additive Modeling.vtt

2.07KB

5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4

11.18MB

5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.vtt

7.44KB

5. AdaBoost/4. AdaBoost Implementation.mp4

15.78MB

5. AdaBoost/4. AdaBoost Implementation.vtt

9.56KB

5. AdaBoost/5. Comparison to Stacking.mp4

5.45MB

5. AdaBoost/5. Comparison to Stacking.vtt

3.85KB

5. AdaBoost/6. Connection to Deep Learning.mp4

6.03MB

5. AdaBoost/6. Connection to Deep Learning.vtt

4.22KB

5. AdaBoost/7. Summary and What's Next.mp4

7.37MB

5. AdaBoost/7. Summary and What's Next.vtt

5.47KB

6. Appendix/1. What is the Appendix.mp4

5.45MB

6. Appendix/1. What is the Appendix.vtt

3.28KB

6. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4

4.02MB

6. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt

2.99KB

6. Appendix/11. Python 2 vs Python 3.mp4

7.83MB

6. Appendix/11. Python 2 vs Python 3.vtt

5.35KB

6. Appendix/12. What order should I take your courses in (part 1).mp4

29.32MB

6. Appendix/12. What order should I take your courses in (part 1).vtt

14.09KB

6. Appendix/13. What order should I take your courses in (part 2).mp4

37.62MB

6. Appendix/13. What order should I take your courses in (part 2).vtt

20.24KB

6. Appendix/2. Confidence Intervals.mp4

12.59MB

6. Appendix/2. Confidence Intervals.vtt

11.55KB

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4

186.29MB

6. Appendix/3. Windows-Focused Environment Setup 2018.vtt

17.39KB

6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

43.92MB

6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt

12.4KB

6. Appendix/5. How to Code by Yourself (part 1).mp4

24.53MB

6. Appendix/5. How to Code by Yourself (part 1).vtt

19.78KB

6. Appendix/6. How to Code by Yourself (part 2).mp4

14.81MB

6. Appendix/6. How to Code by Yourself (part 2).vtt

11.62KB

6. Appendix/7. How to Succeed in this Course (Long Version).mp4

13MB

6. Appendix/7. How to Succeed in this Course (Long Version).vtt

12.86KB

6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

38.95MB

6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt

27.77KB

6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4

78.26MB

6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt

12.22KB

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