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| [DesireCourse.Com].url |
51б |
| 1. AdaBoost Algorithm.mp4 |
10.89Мб |
| 1. AdaBoost Algorithm.vtt |
7.96Кб |
| 1. Bias-Variance Key Terms.mp4 |
10.23Мб |
| 1. Bias-Variance Key Terms.vtt |
7.84Кб |
| 1. Bootstrap Estimation.mp4 |
47.72Мб |
| 1. Bootstrap Estimation.vtt |
11.03Кб |
| 1. Outline and Motivation.mp4 |
7.20Мб |
| 1. Outline and Motivation.vtt |
6.02Кб |
| 1. Random Forest Algorithm.mp4 |
14.42Мб |
| 1. Random Forest Algorithm.vtt |
10.71Кб |
| 1. What is the Appendix.mp4 |
5.45Мб |
| 1. What is the Appendix.vtt |
3.28Кб |
| 10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 |
4.02Мб |
| 10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt |
2.99Кб |
| 11. Python 2 vs Python 3.mp4 |
7.83Мб |
| 11. Python 2 vs Python 3.vtt |
5.35Кб |
| 12. What order should I take your courses in (part 1).mp4 |
29.32Мб |
| 12. What order should I take your courses in (part 1).vtt |
14.09Кб |
| 13. What order should I take your courses in (part 2).mp4 |
37.62Мб |
| 13. What order should I take your courses in (part 2).vtt |
20.24Кб |
| 2. Additive Modeling.mp4 |
2.80Мб |
| 2. Additive Modeling.vtt |
2.07Кб |
| 2. Bias-Variance Trade-Off.mp4 |
4.89Мб |
| 2. Bias-Variance Trade-Off.vtt |
3.57Кб |
| 2. Bootstrap Demo.mp4 |
10.95Мб |
| 2. Bootstrap Demo.vtt |
3.62Кб |
| 2. Confidence Intervals.mp4 |
12.59Мб |
| 2. Confidence Intervals.vtt |
11.55Кб |
| 2. Random Forest Regressor.mp4 |
14.89Мб |
| 2. Random Forest Regressor.vtt |
7.47Кб |
| 2. Where to get the Code and Data.mp4 |
3.36Мб |
| 2. Where to get the Code and Data.vtt |
2.55Кб |
| 3. AdaBoost Loss Function Exponential Loss.mp4 |
11.18Мб |
| 3. AdaBoost Loss Function Exponential Loss.vtt |
7.44Кб |
| 3. All Data is the Same.mp4 |
5.25Мб |
| 3. All Data is the Same.vtt |
3.94Кб |
| 3. Bagging.mp4 |
3.93Мб |
| 3. Bagging.vtt |
2.70Кб |
| 3. Bias-Variance Decomposition.mp4 |
5.37Мб |
| 3. Bias-Variance Decomposition.vtt |
3.51Кб |
| 3. Random Forest Classifier.mp4 |
12.59Мб |
| 3. Random Forest Classifier.vtt |
5.00Кб |
| 3. Windows-Focused Environment Setup 2018.mp4 |
186.29Мб |
| 3. Windows-Focused Environment Setup 2018.vtt |
17.39Кб |
| 4. AdaBoost Implementation.mp4 |
15.78Мб |
| 4. AdaBoost Implementation.vtt |
9.56Кб |
| 4. Bagging Regression Trees.mp4 |
15.87Мб |
| 4. Bagging Regression Trees.vtt |
4.04Кб |
| 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.92Мб |
| 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt |
12.40Кб |
| 4. Plug-and-Play.mp4 |
3.51Мб |
| 4. Plug-and-Play.vtt |
2.58Кб |
| 4. Polynomial Regression Demo.mp4 |
41.75Мб |
| 4. Polynomial Regression Demo.vtt |
11.45Кб |
| 4. Random Forest vs Bagging Trees.mp4 |
7.82Мб |
| 4. Random Forest vs Bagging Trees.vtt |
3.90Кб |
| 5. Bagging Classification Trees.mp4 |
20.32Мб |
| 5. Bagging Classification Trees.vtt |
4.76Кб |
| 5. Comparison to Stacking.mp4 |
5.45Мб |
| 5. Comparison to Stacking.vtt |
3.85Кб |
| 5. How to Code by Yourself (part 1).mp4 |
24.53Мб |
| 5. How to Code by Yourself (part 1).vtt |
19.78Кб |
| 5. Implementing a Not as Random Forest.mp4 |
8.69Мб |
| 5. Implementing a Not as Random Forest.vtt |
4.42Кб |
| 5. K-Nearest Neighbor and Decision Tree Demo.mp4 |
13.86Мб |
| 5. K-Nearest Neighbor and Decision Tree Demo.vtt |
5.06Кб |
| 6. Connection to Deep Learning.mp4 |
6.03Мб |
| 6. Connection to Deep Learning.vtt |
4.22Кб |
| 6. Connection to Deep Learning Dropout.mp4 |
4.22Мб |
| 6. Connection to Deep Learning Dropout.vtt |
2.85Кб |
| 6. Cross-Validation as a Method for Optimizing Model Complexity.mp4 |
6.97Мб |
| 6. Cross-Validation as a Method for Optimizing Model Complexity.vtt |
5.10Кб |
| 6. How to Code by Yourself (part 2).mp4 |
14.81Мб |
| 6. How to Code by Yourself (part 2).vtt |
11.62Кб |
| 6. Stacking.mp4 |
6.07Мб |
| 6. Stacking.vtt |
4.47Кб |
| 7. How to Succeed in this Course (Long Version).mp4 |
13.00Мб |
| 7. How to Succeed in this Course (Long Version).vtt |
12.86Кб |
| 7. Summary and What's Next.mp4 |
7.37Мб |
| 7. Summary and What's Next.vtt |
5.47Кб |
| 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
38.95Мб |
| 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt |
27.77Кб |
| 9. Proof that using Jupyter Notebook is the same as not using it.mp4 |
78.26Мб |
| 9. Proof that using Jupyter Notebook is the same as not using it.vtt |
12.22Кб |