Tutorialsplanet NET Udemy Ensemble Machine Learning in Python Random Forest AdaBoost

Tutorialsplanet NET Udemy Ensemble Machine Learning in Python Random Forest AdaBoost

Name	[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	928.3 MB
Total Files	87
Hash	8EA0519A2CEE0E70E538801C2ECE955924DE2341

/1. Get Started/
1. Outline and Motivation.mp4	7.5 MB
1. Outline and Motivation.srt	7.0 KB
2. Where to get the Code and Data.mp4	3.5 MB
2. Where to get the Code and Data.srt	2.9 KB
3. All Data is the Same.mp4	5.5 MB
3. All Data is the Same.srt	4.5 KB
4. Plug-and-Play.mp4	3.7 MB
4. Plug-and-Play.srt	3.0 KB
/10. Appendix FAQ/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.srt	3.8 KB
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	39.7 MB
2. BONUS Where to get Udemy coupons and FREE deep learning material.srt	8.1 KB
/2. Bias-Variance Trade-Off/
1. Bias-Variance Key Terms.mp4	10.7 MB
1. Bias-Variance Key Terms.srt	9.1 KB
2. Bias-Variance Trade-Off.mp4	5.1 MB
2. Bias-Variance Trade-Off.srt	4.2 KB
3. Bias-Variance Decomposition.mp4	15.0 MB
3. Bias-Variance Decomposition.srt	3.8 KB
4. Polynomial Regression Demo.mp4	43.8 MB
4. Polynomial Regression Demo.srt	13.6 KB
5. K-Nearest Neighbor and Decision Tree Demo.mp4	14.5 MB
5. K-Nearest Neighbor and Decision Tree Demo.srt	6.0 KB
6. Cross-Validation as a Method for Optimizing Model Complexity.mp4	7.3 MB
6. Cross-Validation as a Method for Optimizing Model Complexity.srt	5.9 KB
7. Suggestion Box.mp4	16.9 MB
7. Suggestion Box.srt	4.8 KB
/3. Bootstrap Estimates and Bagging/
1. Bootstrap Estimation.mp4	50.0 MB
1. Bootstrap Estimation.srt	12.9 KB
2. Bootstrap Demo.mp4	11.5 MB
2. Bootstrap Demo.srt	4.3 KB
3. Bagging.mp4	4.1 MB
3. Bagging.srt	3.1 KB
4. Bagging Regression Trees.mp4	16.6 MB
4. Bagging Regression Trees.srt	4.9 KB
5. Bagging Classification Trees.mp4	21.3 MB
5. Bagging Classification Trees.srt	5.8 KB
6. Stacking.mp4	6.4 MB
6. Stacking.srt	5.2 KB
/4. Random Forest/
1. Random Forest Algorithm.mp4	15.1 MB
1. Random Forest Algorithm.srt	12.5 KB
2. Random Forest Regressor.mp4	15.6 MB
2. Random Forest Regressor.srt	8.7 KB
3. Random Forest Classifier.mp4	13.2 MB
3. Random Forest Classifier.srt	5.8 KB
4. Random Forest vs Bagging Trees.mp4	8.2 MB
4. Random Forest vs Bagging Trees.srt	4.5 KB
5. Implementing a Not as Random Forest.mp4	9.1 MB
5. Implementing a Not as Random Forest.srt	5.1 KB
6. Connection to Deep Learning Dropout.mp4	4.4 MB
6. Connection to Deep Learning Dropout.srt	3.2 KB
/5. AdaBoost/
1. AdaBoost Algorithm.mp4	11.4 MB
1. AdaBoost Algorithm.srt	9.2 KB
2. Additive Modeling.mp4	2.9 MB
2. Additive Modeling.srt	2.4 KB
3. AdaBoost Loss Function Exponential Loss.mp4	11.7 MB
3. AdaBoost Loss Function Exponential Loss.srt	8.6 KB
4. AdaBoost Implementation.mp4	16.6 MB
4. AdaBoost Implementation.srt	11.2 KB
5. Comparison to Stacking.mp4	5.7 MB
5. Comparison to Stacking.srt	4.4 KB
6. Connection to Deep Learning.mp4	6.3 MB
6. Connection to Deep Learning.srt	4.9 KB
7. Summary and What's Next.mp4	7.7 MB
7. Summary and What's Next.srt	6.3 KB
/6. Background Review/
1. Confidence Intervals.mp4	13.2 MB
1. Confidence Intervals.srt	13.5 KB
/7. Setting Up Your Environment/
1. Windows-Focused Environment Setup 2018.mp4	195.4 MB
1. Windows-Focused Environment Setup 2018.srt	20.6 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.1 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	14.8 KB
/8. Extra Help With Python Coding for Beginners/
1. How to Code by Yourself (part 1).mp4	25.7 MB
1. How to Code by Yourself (part 1).srt	23.3 KB
2. How to Code by Yourself (part 2).mp4	15.5 MB
2. How to Code by Yourself (part 2).srt	13.6 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	14.5 KB
4. Python 2 vs Python 3.mp4	8.2 MB
4. Python 2 vs Python 3.srt	6.2 KB
/9/
1. How to Succeed in this Course (Long Version).mp4	13.6 MB
1. How to Succeed in this Course (Long Version).srt	15.0 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	32.5 KB
3. What order should I take your courses in (part 1).mp4	30.8 MB
3. What order should I take your courses in (part 1).srt	16.4 KB
4. What order should I take your courses in (part 2).mp4	39.5 MB
4. What order should I take your courses in (part 2).srt	23.6 KB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 87