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[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost
magnet:?xt=urn:btih:8ea0519a2cee0e70e538801c2ece955924de2341&dn=[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost
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文件列表详情
8ea0519a2cee0e70e538801c2ece955924de2341
infohash:
43
文件数量
884.95 MB
文件大小
2020-8-28 02:03
创建日期
2025-2-25 09:25
最后访问
相关分词
Tutorialsplanet
NET
Udemy
-
Ensemble
Machine
Learning
in
Python
Random
Forest
AdaBoost
1. Get Started/1. Outline and Motivation.mp4 7.19 MB
1. Get Started/2. Where to get the Code and Data.mp4 3.36 MB
1. Get Started/3. All Data is the Same.mp4 5.24 MB
1. Get Started/4. Plug-and-Play.mp4 3.5 MB
10. Appendix FAQ/1. What is the Appendix.mp4 5.46 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.84 MB
2. Bias-Variance Trade-Off/1. Bias-Variance Key Terms.mp4 10.24 MB
2. Bias-Variance Trade-Off/2. Bias-Variance Trade-Off.mp4 4.89 MB
2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.mp4 14.3 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 41.76 MB
2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4 13.86 MB
2. Bias-Variance Trade-Off/6. Cross-Validation as a Method for Optimizing Model Complexity.mp4 6.98 MB
2. Bias-Variance Trade-Off/7. Suggestion Box.mp4 16.12 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 47.73 MB
3. Bootstrap Estimates and Bagging/2. Bootstrap Demo.mp4 10.96 MB
3. Bootstrap Estimates and Bagging/3. Bagging.mp4 3.93 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 15.88 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 20.32 MB
3. Bootstrap Estimates and Bagging/6. Stacking.mp4 6.08 MB
4. Random Forest/1. Random Forest Algorithm.mp4 14.43 MB
4. Random Forest/2. Random Forest Regressor.mp4 14.9 MB
4. Random Forest/3. Random Forest Classifier.mp4 12.58 MB
4. Random Forest/4. Random Forest vs Bagging Trees.mp4 7.82 MB
4. Random Forest/5. Implementing a Not as Random Forest.mp4 8.69 MB
4. Random Forest/6. Connection to Deep Learning Dropout.mp4 4.22 MB
5. AdaBoost/1. AdaBoost Algorithm.mp4 10.88 MB
5. AdaBoost/2. Additive Modeling.mp4 2.81 MB
5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4 11.19 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 15.79 MB
5. AdaBoost/5. Comparison to Stacking.mp4 5.44 MB
5. AdaBoost/6. Connection to Deep Learning.mp4 6.03 MB
5. AdaBoost/7. Summary and What's Next.mp4 7.37 MB
6. Background Review/1. Confidence Intervals.mp4 12.6 MB
7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 186.3 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
8. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 24.54 MB
8. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 14.8 MB
8. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 78.26 MB
8. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.mp4 7.83 MB
9/1. How to Succeed in this Course (Long Version).mp4 13 MB
9/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
9/3. What order should I take your courses in (part 1).mp4 29.33 MB
9/4. What order should I take your courses in (part 2).mp4 37.63 MB
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