FreeTutorials Us machine learning in python random forest adaboost

FreeTutorials Us machine learning in python random forest adaboost

Name	[FreeTutorials.Us] machine-learning-in-python-random-forest-adaboost	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	419.2 MB
Total Files	36
Hash	D6D55155146BC0A0701DF35C1DE444FA38310E72

/01 Get Started/
001 Outline and Motivation.mp4	7.5 MB
002 Where to get the Code and Data.mp4	3.5 MB
003 All Data is the Same.mp4	5.5 MB
004 Plug-and-Play.mp4	3.7 MB
/02 Bias-Variance Trade-Off/
005 Bias-Variance Key Terms.mp4	10.7 MB
006 Bias-Variance Trade-Off.mp4	5.1 MB
007 Bias-Variance Decomposition.mp4	5.6 MB
008 Polynomial Regression Demo.mp4	43.8 MB
009 K-Nearest Neighbor and Decision Tree Demo.mp4	14.5 MB
010 Cross-Validation as a Method for Optimizing Model Complexity.mp4	7.3 MB
/03 Bootstrap Estimates and Bagging/
011 Bootstrap Estimation.mp4	15.9 MB
012 Bootstrap Demo.mp4	11.5 MB
013 Bagging.mp4	4.1 MB
014 Bagging Regression Trees.mp4	16.6 MB
015 Bagging Classification Trees.mp4	21.3 MB
016 Stacking.mp4	6.4 MB
/04 Random Forest/
017 Random Forest Algorithm.mp4	15.1 MB
018 Random Forest Regressor.mp4	15.6 MB
019 Random Forest Classifier.mp4	13.2 MB
020 Random Forest vs Bagging Trees.mp4	8.2 MB
021 Implementing a Not as Random Forest.mp4	9.1 MB
022 Connection to Deep Learning Dropout.mp4	4.4 MB
/05 AdaBoost/
023 AdaBoost Algorithm.mp4	11.4 MB
024 Additive Modeling.mp4	2.9 MB
025 AdaBoost Loss Function Exponential Loss.mp4	11.7 MB
026 AdaBoost Implementation.mp4	16.5 MB
027 Comparison to Stacking.mp4	5.7 MB
028 Connection to Deep Learning.mp4	6.3 MB
029 Summary and Whats Next.mp4	7.7 MB
/06 Appendix/
030 Confidence Intervals.mp4	16.6 MB
031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	46.0 MB
032 How to Code by Yourself part 1.mp4	25.7 MB
033 How to Code by Yourself part 2.mp4	15.5 MB
034 BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4.2 MB
/
[FreeTutorials.Us].txt	0.1 KB
Freetutorials.Us.url	0.1 KB
Total files 36