Torrent Downloads » Other » [DesireCourse Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost
Other
[DesireCourse Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost
-
-
- Rate this torrent + | -
Download Anonymously! Get Protected Today And Get your 70% discount
Torrent info
Torrent Files List
1. Get Started (Size: 826.29 MB) (Files: 85)
1. Get Started
1. Outline and Motivation.mp4
1. Outline and Motivation.vtt
2. Where to get the Code and Data.mp4
2. Where to get the Code and Data.vtt
3. All Data is the Same.mp4
3. All Data is the Same.vtt
4. Plug-and-Play.mp4
4. Plug-and-Play.vtt
2. Bias-Variance Trade-Off
1. Bias-Variance Key Terms.mp4
1. Bias-Variance Key Terms.vtt
2. Bias-Variance Trade-Off.mp4
2. Bias-Variance Trade-Off.vtt
3. Bias-Variance Decomposition.mp4
3. Bias-Variance Decomposition.vtt
4. Polynomial Regression Demo.mp4
4. Polynomial Regression Demo.vtt
5. K-Nearest Neighbor and Decision Tree Demo.mp4
5. K-Nearest Neighbor and Decision Tree Demo.vtt
6. Cross-Validation as a Method for Optimizing Model Complexity.mp4
6. Cross-Validation as a Method for Optimizing Model Complexity.vtt
3. Bootstrap Estimates and Bagging
1. Bootstrap Estimation.mp4
1. Bootstrap Estimation.vtt
2. Bootstrap Demo.mp4
2. Bootstrap Demo.vtt
3. Bagging.mp4
3. Bagging.vtt
4. Bagging Regression Trees.mp4
4. Bagging Regression Trees.vtt
5. Bagging Classification Trees.mp4
5. Bagging Classification Trees.vtt
6. Stacking.mp4
6. Stacking.vtt
4. Random Forest
1. Random Forest Algorithm.mp4
1. Random Forest Algorithm.vtt
2. Random Forest Regressor.mp4
2. Random Forest Regressor.vtt
3. Random Forest Classifier.mp4
3. Random Forest Classifier.vtt
4. Random Forest vs Bagging Trees.mp4
4. Random Forest vs Bagging Trees.vtt
5. Implementing a Not as Random Forest.mp4
5. Implementing a Not as Random Forest.vtt
6. Connection to Deep Learning Dropout.mp4
6. Connection to Deep Learning Dropout.vtt
5. AdaBoost
1. AdaBoost Algorithm.mp4
1. AdaBoost Algorithm.vtt
2. Additive Modeling.mp4
2. Additive Modeling.vtt
3. AdaBoost Loss Function Exponential Loss.mp4
3. AdaBoost Loss Function Exponential Loss.vtt
4. AdaBoost Implementation.mp4
4. AdaBoost Implementation.vtt
5. Comparison to Stacking.mp4
5. Comparison to Stacking.vtt
6. Connection to Deep Learning.mp4
6. Connection to Deep Learning.vtt
7. Summary and What's Next.mp4
7. Summary and What's Next.vtt
6. Appendix
1. What is the Appendix.mp4
1. What is the Appendix.vtt
10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt
11. Python 2 vs Python 3.mp4
11. Python 2 vs Python 3.vtt
12. What order should I take your courses in (part 1).mp4
12. What order should I take your courses in (part 1).vtt
13. What order should I take your courses in (part 2).mp4
13. What order should I take your courses in (part 2).vtt
2. Confidence Intervals.mp4
2. Confidence Intervals.vtt
3. Windows-Focused Environment Setup 2018.mp4
3. Windows-Focused Environment Setup 2018.vtt
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
5. How to Code by Yourself (part 1).mp4
5. How to Code by Yourself (part 1).vtt
6. How to Code by Yourself (part 2).mp4
6. How to Code by Yourself (part 2).vtt
7. How to Succeed in this Course (Long Version).mp4
7. How to Succeed in this Course (Long Version).vtt
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
9. Proof that using Jupyter Notebook is the same as not using it.mp4
9. Proof that using Jupyter Notebook is the same as not using it.vtt
[DesireCourse.Com].url
Torrent description
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch [DesireCourse Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
