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[FreeTutorials.Us] machine-learning-in-python-random-forest-adaboost

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399.79MB

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2017-10-18

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FreeTutorials Us machine learning in python random forest adaboost

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File Name

Size

01 Get Started/001 Outline and Motivation.mp4

7.19MB

01 Get Started/002 Where to get the Code and Data.mp4

3.35MB

01 Get Started/003 All Data is the Same.mp4

5.24MB

01 Get Started/004 Plug-and-Play.mp4

3.5MB

02 Bias-Variance Trade-Off/005 Bias-Variance Key Terms.mp4

10.23MB

02 Bias-Variance Trade-Off/006 Bias-Variance Trade-Off.mp4

4.89MB

02 Bias-Variance Trade-Off/007 Bias-Variance Decomposition.mp4

5.37MB

02 Bias-Variance Trade-Off/008 Polynomial Regression Demo.mp4

41.75MB

02 Bias-Variance Trade-Off/009 K-Nearest Neighbor and Decision Tree Demo.mp4

13.86MB

02 Bias-Variance Trade-Off/010 Cross-Validation as a Method for Optimizing Model Complexity.mp4

6.97MB

03 Bootstrap Estimates and Bagging/011 Bootstrap Estimation.mp4

15.17MB

03 Bootstrap Estimates and Bagging/012 Bootstrap Demo.mp4

10.95MB

03 Bootstrap Estimates and Bagging/013 Bagging.mp4

3.92MB

03 Bootstrap Estimates and Bagging/014 Bagging Regression Trees.mp4

15.87MB

03 Bootstrap Estimates and Bagging/015 Bagging Classification Trees.mp4

20.31MB

03 Bootstrap Estimates and Bagging/016 Stacking.mp4

6.07MB

04 Random Forest/017 Random Forest Algorithm.mp4

14.42MB

04 Random Forest/018 Random Forest Regressor.mp4

14.89MB

04 Random Forest/019 Random Forest Classifier.mp4

12.58MB

04 Random Forest/020 Random Forest vs Bagging Trees.mp4

7.82MB

04 Random Forest/021 Implementing a Not as Random Forest.mp4

8.69MB

04 Random Forest/022 Connection to Deep Learning Dropout.mp4

4.22MB

05 AdaBoost/023 AdaBoost Algorithm.mp4

10.88MB

05 AdaBoost/024 Additive Modeling.mp4

2.78MB

05 AdaBoost/025 AdaBoost Loss Function Exponential Loss.mp4

11.18MB

05 AdaBoost/026 AdaBoost Implementation.mp4

15.78MB

05 AdaBoost/027 Comparison to Stacking.mp4

5.44MB

05 AdaBoost/028 Connection to Deep Learning.mp4

6.03MB

05 AdaBoost/029 Summary and Whats Next.mp4

7.37MB

06 Appendix/030 Confidence Intervals.mp4

15.81MB

06 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4

43.92MB

06 Appendix/032 How to Code by Yourself part 1.mp4

24.53MB

06 Appendix/033 How to Code by Yourself part 2.mp4

14.8MB

06 Appendix/034 BONUS Where to get Udemy coupons and FREE deep learning material.mp4

4.02MB

[FreeTutorials.Us].txt

75B

Freetutorials.Us.url

119B

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