Filename | Size |
| 1. Get Started/1. Outline and Motivation.mp4 | 7.2 MB |
| 1. Get Started/1. Outline and Motivation.vtt | 6 KB |
| 1. Get Started/2. Where to get the Code and Data.mp4 | 3.4 MB |
| 1. Get Started/2. Where to get the Code and Data.vtt | 2.6 KB |
| 1. Get Started/3. All Data is the Same.mp4 | 5.3 MB |
| 1. Get Started/3. All Data is the Same.vtt | 3.9 KB |
| 1. Get Started/4. Plug-and-Play.mp4 | 3.5 MB |
| 1. Get Started/4. Plug-and-Play.vtt | 2.6 KB |
| 2. Bias-Variance Trade-Off/1. Bias-Variance Key Terms.mp4 | 10.2 MB |
| 2. Bias-Variance Trade-Off/1. Bias-Variance Key Terms.vtt | 7.8 KB |
| 2. Bias-Variance Trade-Off/2. Bias-Variance Trade-Off.mp4 | 4.9 MB |
| 2. Bias-Variance Trade-Off/2. Bias-Variance Trade-Off.vtt | 3.6 KB |
| 2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.mp4 | 5.4 MB |
| 2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.vtt | 3.5 KB |
| 2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 | 41.8 MB |
| 2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.vtt | 11.4 KB |
| 2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4 | 13.9 MB |
| 2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.vtt | 5.1 KB |
| 2. Bias-Variance Trade-Off/6. Cross-Validation as a Method for Optimizing Model Complexity.mp4 | 7 MB |
| 2. Bias-Variance Trade-Off/6. Cross-Validation as a Method for Optimizing Model Complexity.vtt | 5.1 KB |
| 3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 | 47.7 MB |
| 3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.vtt | 11 KB |
| 3. Bootstrap Estimates and Bagging/2. Bootstrap Demo.mp4 | 11 MB |
| 3. Bootstrap Estimates and Bagging/2. Bootstrap Demo.vtt | 3.6 KB |
| 3. Bootstrap Estimates and Bagging/3. Bagging.mp4 | 3.9 MB |
| 3. Bootstrap Estimates and Bagging/3. Bagging.vtt | 2.7 KB |
| 3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 | 15.9 MB |
| 3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.vtt | 4 KB |
| 3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 | 20.3 MB |
| 3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.vtt | 4.8 KB |
| 3. Bootstrap Estimates and Bagging/6. Stacking.mp4 | 6.1 MB |
| 3. Bootstrap Estimates and Bagging/6. Stacking.vtt | 4.5 KB |
| 4. Random Forest/1. Random Forest Algorithm.mp4 | 14.4 MB |
| 4. Random Forest/1. Random Forest Algorithm.vtt | 10.7 KB |
| 4. Random Forest/2. Random Forest Regressor.mp4 | 14.9 MB |
| 4. Random Forest/2. Random Forest Regressor.vtt | 7.5 KB |
| 4. Random Forest/3. Random Forest Classifier.mp4 | 12.6 MB |
| 4. Random Forest/3. Random Forest Classifier.vtt | 5 KB |
| 4. Random Forest/4. Random Forest vs Bagging Trees.mp4 | 7.8 MB |
| 4. Random Forest/4. Random Forest vs Bagging Trees.vtt | 3.9 KB |
| 4. Random Forest/5. Implementing a Not as Random Forest.mp4 | 8.7 MB |
| 4. Random Forest/5. Implementing a Not as Random Forest.vtt | 4.4 KB |
| 4. Random Forest/6. Connection to Deep Learning Dropout.mp4 | 4.2 MB |
| 4. Random Forest/6. Connection to Deep Learning Dropout.vtt | 2.8 KB |
| 5. AdaBoost/1. AdaBoost Algorithm.mp4 | 10.9 MB |
| 5. AdaBoost/1. AdaBoost Algorithm.vtt | 8 KB |
| 5. AdaBoost/2. Additive Modeling.mp4 | 2.8 MB |
| 5. AdaBoost/2. Additive Modeling.vtt | 2.1 KB |
| 5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4 | 11.2 MB |
| 5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.vtt | 7.4 KB |
| 5. AdaBoost/4. AdaBoost Implementation.mp4 | 15.8 MB |
| 5. AdaBoost/4. AdaBoost Implementation.vtt | 9.6 KB |
| 5. AdaBoost/5. Comparison to Stacking.mp4 | 5.5 MB |
| 5. AdaBoost/5. Comparison to Stacking.vtt | 3.8 KB |
| 5. AdaBoost/6. Connection to Deep Learning.mp4 | 6 MB |
| 5. AdaBoost/6. Connection to Deep Learning.vtt | 4.2 KB |
| 5. AdaBoost/7. Summary and What's Next.mp4 | 7.4 MB |
| 5. AdaBoost/7. Summary and What's Next.vtt | 5.5 KB |
| 6. Appendix/1. What is the Appendix.mp4 | 5.5 MB |
| 6. Appendix/1. What is the Appendix.vtt | 3.3 KB |
| 6. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 | 4 MB |
| 6. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt | 3 KB |
| 6. Appendix/11. Python 2 vs Python 3.mp4 | 7.8 MB |
| 6. Appendix/11. Python 2 vs Python 3.vtt | 5.4 KB |
| 6. Appendix/12. What order should I take your courses in (part 1).mp4 | 29.3 MB |
| 6. Appendix/12. What order should I take your courses in (part 1).vtt | 14.1 KB |
| 6. Appendix/13. What order should I take your courses in (part 2).mp4 | 37.6 MB |
| 6. Appendix/13. What order should I take your courses in (part 2).vtt | 20.2 KB |
| 6. Appendix/2. Confidence Intervals.mp4 | 12.6 MB |
| 6. Appendix/2. Confidence Intervals.vtt | 11.5 KB |
| 6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 | 186.3 MB |
| 6. Appendix/3. Windows-Focused Environment Setup 2018.vtt | 17.4 KB |
| 6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 | 43.9 MB |
| 6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt | 12.4 KB |
| 6. Appendix/5. How to Code by Yourself (part 1).mp4 | 24.5 MB |
| 6. Appendix/5. How to Code by Yourself (part 1).vtt | 19.8 KB |
| 6. Appendix/6. How to Code by Yourself (part 2).mp4 | 14.8 MB |
| 6. Appendix/6. How to Code by Yourself (part 2).vtt | 11.6 KB |
| 6. Appendix/7. How to Succeed in this Course (Long Version).mp4 | 13 MB |
| 6. Appendix/7. How to Succeed in this Course (Long Version).vtt | 12.9 KB |
| 6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 | 39 MB |
| 6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt | 27.8 KB |
| 6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 | 78.3 MB |
| 6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt | 12.2 KB |