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[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost
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2020-8-28 02:03
2024-11-14 17:49
127
884.95 MB
43
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相关链接
Tutorialsplanet
NET
Udemy
-
Ensemble
Machine
Learning
in
Python
Random
Forest
AdaBoost
文件列表
1. Get Started/1. Outline and Motivation.mp4
7.19MB
1. Get Started/2. Where to get the Code and Data.mp4
3.36MB
1. Get Started/3. All Data is the Same.mp4
5.24MB
1. Get Started/4. Plug-and-Play.mp4
3.5MB
10. Appendix FAQ/1. What is the Appendix.mp4
5.46MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
37.84MB
2. Bias-Variance Trade-Off/1. Bias-Variance Key Terms.mp4
10.24MB
2. Bias-Variance Trade-Off/2. Bias-Variance Trade-Off.mp4
4.89MB
2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.mp4
14.3MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4
41.76MB
2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4
13.86MB
2. Bias-Variance Trade-Off/6. Cross-Validation as a Method for Optimizing Model Complexity.mp4
6.98MB
2. Bias-Variance Trade-Off/7. Suggestion Box.mp4
16.12MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4
47.73MB
3. Bootstrap Estimates and Bagging/2. Bootstrap Demo.mp4
10.96MB
3. Bootstrap Estimates and Bagging/3. Bagging.mp4
3.93MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4
15.88MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4
20.32MB
3. Bootstrap Estimates and Bagging/6. Stacking.mp4
6.08MB
4. Random Forest/1. Random Forest Algorithm.mp4
14.43MB
4. Random Forest/2. Random Forest Regressor.mp4
14.9MB
4. Random Forest/3. Random Forest Classifier.mp4
12.58MB
4. Random Forest/4. Random Forest vs Bagging Trees.mp4
7.82MB
4. Random Forest/5. Implementing a Not as Random Forest.mp4
8.69MB
4. Random Forest/6. Connection to Deep Learning Dropout.mp4
4.22MB
5. AdaBoost/1. AdaBoost Algorithm.mp4
10.88MB
5. AdaBoost/2. Additive Modeling.mp4
2.81MB
5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4
11.19MB
5. AdaBoost/4. AdaBoost Implementation.mp4
15.79MB
5. AdaBoost/5. Comparison to Stacking.mp4
5.44MB
5. AdaBoost/6. Connection to Deep Learning.mp4
6.03MB
5. AdaBoost/7. Summary and What's Next.mp4
7.37MB
6. Background Review/1. Confidence Intervals.mp4
12.6MB
7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4
186.3MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92MB
8. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4
24.54MB
8. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4
14.8MB
8. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4
78.26MB
8. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.mp4
7.83MB
9/1. How to Succeed in this Course (Long Version).mp4
13MB
9/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.96MB
9/3. What order should I take your courses in (part 1).mp4
29.33MB
9/4. What order should I take your courses in (part 2).mp4
37.63MB
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