Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost (10.2021)

01 - Get Started/001 Outline and Motivation.mp4

32.44 MB

01 - Get Started/001 Outline and Motivation.vtt

7.05 KB

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

51.71 MB

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

11.6 KB

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

7.99 MB

01 - Get Started/003 All Data is the Same.vtt

3.94 KB

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

9.73 MB

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

2.58 KB

01 - Get Started/005 How to Succeed in This Course.mp4

43.9 MB

01 - Get Started/005 How to Succeed in This Course.vtt

7.29 KB

01 - Get Started/2021 Software - Windows - Office - Adobe.pdf

225.79 KB

01 - Get Started/external-assets-links.txt

76 B

02 - Bias-Variance Trade-Off/001 Bias-Variance Key Terms.mp4

14.84 MB

02 - Bias-Variance Trade-Off/001 Bias-Variance Key Terms.vtt

7.84 KB

02 - Bias-Variance Trade-Off/002 Bias-Variance Trade-Off.mp4

6.24 MB

02 - Bias-Variance Trade-Off/002 Bias-Variance Trade-Off.vtt

3.57 KB

02 - Bias-Variance Trade-Off/003 Bias-Variance Decomposition.mp4

5.24 MB

02 - Bias-Variance Trade-Off/003 Bias-Variance Decomposition.vtt

3.29 KB

02 - Bias-Variance Trade-Off/004 Polynomial Regression Demo.mp4

143.12 MB

02 - Bias-Variance Trade-Off/004 Polynomial Regression Demo.vtt

11.45 KB

02 - Bias-Variance Trade-Off/005 K-Nearest Neighbor and Decision Tree Demo.mp4

20.05 MB

02 - Bias-Variance Trade-Off/005 K-Nearest Neighbor and Decision Tree Demo.vtt

5.06 KB

02 - Bias-Variance Trade-Off/006 Cross-Validation as a Method for Optimizing Model Complexity.mp4

9.38 MB

02 - Bias-Variance Trade-Off/006 Cross-Validation as a Method for Optimizing Model Complexity.vtt

5.1 KB

02 - Bias-Variance Trade-Off/007 Suggestion Box.mp4

11.82 MB

02 - Bias-Variance Trade-Off/007 Suggestion Box.vtt

4.08 KB

03 - Bootstrap Estimates and Bagging/001 Bootstrap Estimation.mp4

29.68 MB

03 - Bootstrap Estimates and Bagging/001 Bootstrap Estimation.vtt

11.03 KB

03 - Bootstrap Estimates and Bagging/002 Bootstrap Demo.mp4

12.8 MB

03 - Bootstrap Estimates and Bagging/002 Bootstrap Demo.vtt

3.62 KB

03 - Bootstrap Estimates and Bagging/003 Bagging.mp4

8.66 MB

03 - Bootstrap Estimates and Bagging/003 Bagging.vtt

2.78 KB

03 - Bootstrap Estimates and Bagging/004 Bagging Regression Trees.mp4

18.64 MB

03 - Bootstrap Estimates and Bagging/004 Bagging Regression Trees.vtt

4.04 KB

03 - Bootstrap Estimates and Bagging/005 Bagging Classification Trees.mp4

28.44 MB

03 - Bootstrap Estimates and Bagging/005 Bagging Classification Trees.vtt

4.76 KB

03 - Bootstrap Estimates and Bagging/006 Stacking.mp4

8.88 MB

03 - Bootstrap Estimates and Bagging/006 Stacking.vtt

4.47 KB

04 - Random Forest/001 Random Forest Algorithm.mp4

20.65 MB

04 - Random Forest/001 Random Forest Algorithm.vtt

10.71 KB

04 - Random Forest/002 Random Forest Regressor.mp4

48.02 MB

04 - Random Forest/002 Random Forest Regressor.vtt

7.47 KB

04 - Random Forest/003 Random Forest Classifier.mp4

33.31 MB

04 - Random Forest/003 Random Forest Classifier.vtt

5 KB

04 - Random Forest/004 Random Forest vs Bagging Trees.mp4

9.69 MB

04 - Random Forest/004 Random Forest vs Bagging Trees.vtt

3.9 KB

04 - Random Forest/005 Implementing a _Not as Random_ Forest.mp4

13.82 MB

04 - Random Forest/005 Implementing a _Not as Random_ Forest.vtt

4.42 KB

04 - Random Forest/006 Connection to Deep Learning_ Dropout.mp4

5.55 MB

04 - Random Forest/006 Connection to Deep Learning_ Dropout.vtt

2.85 KB

05 - AdaBoost/001 AdaBoost Algorithm.mp4

16.44 MB

05 - AdaBoost/001 AdaBoost Algorithm.vtt

7.96 KB

05 - AdaBoost/002 Additive Modeling.mp4

3.42 MB

05 - AdaBoost/002 Additive Modeling.vtt

2.07 KB

05 - AdaBoost/003 AdaBoost Loss Function_ Exponential Loss.mp4

23.37 MB

05 - AdaBoost/003 AdaBoost Loss Function_ Exponential Loss.vtt

7.44 KB

05 - AdaBoost/004 AdaBoost Implementation.mp4

28.97 MB

05 - AdaBoost/004 AdaBoost Implementation.vtt

9.56 KB

05 - AdaBoost/005 Comparison to Stacking.mp4

7.54 MB

05 - AdaBoost/005 Comparison to Stacking.vtt

3.85 KB

05 - AdaBoost/006 Connection to Deep Learning.mp4

9.13 MB

05 - AdaBoost/006 Connection to Deep Learning.vtt

4.22 KB

05 - AdaBoost/007 Summary and What's Next.mp4

9.66 MB

05 - AdaBoost/007 Summary and What's Next.vtt

5.47 KB

06 - Background Review/001 Confidence Intervals.mp4

20.75 MB

06 - Background Review/001 Confidence Intervals.vtt

11.55 KB

07 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.mp4

168.02 MB

07 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.vtt

17.39 KB

07 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

109.25 MB

07 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt

12.4 KB

08 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4

56.12 MB

08 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).vtt

19.78 KB

08 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).mp4

20.87 MB

08 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).vtt

11.62 KB

08 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4

64.3 MB

08 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.vtt

12.22 KB

08 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.mp4

7.61 MB

08 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.vtt

5.35 KB

09 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).mp4

17.87 MB

09 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).vtt

12.86 KB

09 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.mp4

42.46 MB

09 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.vtt

27.77 KB

09 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4

75.67 MB

09 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).vtt

14.09 KB

09 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4

81.22 MB

09 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).vtt

20.24 KB

10 - Appendix _ FAQ Finale/001 What is the Appendix_.mp4

6.15 MB

10 - Appendix _ FAQ Finale/001 What is the Appendix_.vtt

3.28 KB

10 - Appendix _ FAQ Finale/002 BONUS.mp4

35.74 MB

10 - Appendix _ FAQ Finale/002 BONUS.vtt

6.91 KB

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