Filename | Size |
| 1. Introduction and Review/1. Introduction and Outline.mp4 | 7.6 MB |
| 1. Introduction and Review/1. Introduction and Outline.srt | 5.7 KB |
| 1. Introduction and Review/2. Review of Important Concepts.mp4 | 6 MB |
| 1. Introduction and Review/2. Review of Important Concepts.srt | 4.4 KB |
| 1. Introduction and Review/3. Where to get the Code and Data.mp4 | 3.9 MB |
| 1. Introduction and Review/3. Where to get the Code and Data.srt | 2.6 KB |
| 1. Introduction and Review/4. How to Succeed in this Course.mp4 | 3.3 MB |
| 1. Introduction and Review/4. How to Succeed in this Course.srt | 4 KB |
| 2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 | 17.6 MB |
| 2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.srt | 4.9 KB |
| 2. K-Nearest Neighbor/2. K-Nearest Neighbor Concepts.mp4 | 8.6 MB |
| 2. K-Nearest Neighbor/2. K-Nearest Neighbor Concepts.srt | 6.3 KB |
| 2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 | 18 MB |
| 2. K-Nearest Neighbor/3. KNN in Code with MNIST.srt | 32.4 MB |
| 2. K-Nearest Neighbor/4. When KNN Can Fail.mp4 | 7.7 MB |
| 2. K-Nearest Neighbor/4. When KNN Can Fail.srt | 4.6 KB |
| 2. K-Nearest Neighbor/5. KNN for the XOR Problem.mp4 | 4.3 MB |
| 2. K-Nearest Neighbor/5. KNN for the XOR Problem.srt | 2.2 KB |
| 2. K-Nearest Neighbor/6. KNN for the Donut Problem.mp4 | 5.4 MB |
| 2. K-Nearest Neighbor/6. KNN for the Donut Problem.srt | 71.2 MB |
| 2. K-Nearest Neighbor/7. Effect of K.mp4 | 35.8 MB |
| 2. K-Nearest Neighbor/7. Effect of K.srt | 42.5 MB |
| 2. K-Nearest Neighbor/8. KNN Exercise.mp4 | 16.9 MB |
| 2. K-Nearest Neighbor/8. KNN Exercise.srt | 5.5 KB |
| 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 | 80.2 MB |
| 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).srt | 22.9 KB |
| 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 | 50.1 MB |
| 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).srt | 12.8 KB |
| 3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 | 15.7 MB |
| 3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.srt | 11.5 KB |
| 3. Naive Bayes and Bayes Classifiers/4. Naive Bayes Handwritten Example.mp4 | 5.8 MB |
| 3. Naive Bayes and Bayes Classifiers/4. Naive Bayes Handwritten Example.srt | 3.6 KB |
| 3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.mp4 | 14.4 MB |
| 3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.srt | 4.8 KB |
| 3. Naive Bayes and Bayes Classifiers/6. Non-Naive Bayes.mp4 | 7.3 MB |
| 3. Naive Bayes and Bayes Classifiers/6. Non-Naive Bayes.srt | 4.9 KB |
| 3. Naive Bayes and Bayes Classifiers/7. Bayes Classifier in Code with MNIST.mp4 | 4.4 MB |
| 3. Naive Bayes and Bayes Classifiers/7. Bayes Classifier in Code with MNIST.srt | 6.2 MB |
| 3. Naive Bayes and Bayes Classifiers/8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).mp4 | 10.3 MB |
| 3. Naive Bayes and Bayes Classifiers/8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).srt | 7.4 KB |
| 3. Naive Bayes and Bayes Classifiers/9. Generative vs Discriminative Models.mp4 | 5.1 MB |
| 3. Naive Bayes and Bayes Classifiers/9. Generative vs Discriminative Models.srt | 3.1 KB |
| 4. Decision Trees/1. Decision Tree Intuition.mp4 | 20.4 MB |
| 4. Decision Trees/1. Decision Tree Intuition.srt | 5.6 KB |
| 4. Decision Trees/2. Decision Tree Basics.mp4 | 8.3 MB |
| 4. Decision Trees/2. Decision Tree Basics.srt | 6.2 KB |
| 4. Decision Trees/3. Information Entropy.mp4 | 7 MB |
| 4. Decision Trees/3. Information Entropy.srt | 4.3 KB |
| 4. Decision Trees/4. Maximizing Information Gain.mp4 | 14 MB |
| 4. Decision Trees/4. Maximizing Information Gain.srt | 9.6 KB |
| 4. Decision Trees/5. Choosing the Best Split.mp4 | 6.7 MB |
| 4. Decision Trees/5. Choosing the Best Split.srt | 4.8 KB |
| 4. Decision Trees/6. Decision Tree in Code.mp4 | 30.3 MB |
| 4. Decision Trees/6. Decision Tree in Code.srt | 11.1 KB |
| 5. Perceptrons/1. Perceptron Concepts.mp4 | 12.2 MB |
| 5. Perceptrons/1. Perceptron Concepts.srt | 8.7 KB |
| 5. Perceptrons/2. Perceptron in Code.mp4 | 13.8 MB |
| 5. Perceptrons/2. Perceptron in Code.srt | 4.7 KB |
| 5. Perceptrons/3. Perceptron for MNIST and XOR.mp4 | 8.7 MB |
| 5. Perceptrons/3. Perceptron for MNIST and XOR.srt | 2.3 KB |
| 5. Perceptrons/4. Perceptron Loss Function.mp4 | 6.3 MB |
| 5. Perceptrons/4. Perceptron Loss Function.srt | 4.9 KB |
| 6. Practical Machine Learning/1. Hyperparameters and Cross-Validation.mp4 | 7.4 MB |
| 6. Practical Machine Learning/1. Hyperparameters and Cross-Validation.srt | 5.1 KB |
| 6. Practical Machine Learning/2. Feature Extraction and Feature Selection.mp4 | 7.1 MB |
| 6. Practical Machine Learning/2. Feature Extraction and Feature Selection.srt | 4.8 KB |
| 6. Practical Machine Learning/3. Comparison to Deep Learning.mp4 | 8.7 MB |
| 6. Practical Machine Learning/3. Comparison to Deep Learning.srt | 6.1 KB |
| 6. Practical Machine Learning/4. Multiclass Classification.mp4 | 5.7 MB |
| 6. Practical Machine Learning/4. Multiclass Classification.srt | 4.1 KB |
| 6. Practical Machine Learning/5. Sci-Kit Learn.mp4 | 15.8 MB |
| 6. Practical Machine Learning/5. Sci-Kit Learn.srt | 11.1 KB |
| 6. Practical Machine Learning/6. Regression with Sci-Kit Learn is Easy.mp4 | 10.7 MB |
| 6. Practical Machine Learning/6. Regression with Sci-Kit Learn is Easy.srt | 6.1 KB |
| 7. Building a Machine Learning Web Service/1. Building a Machine Learning Web Service Concepts.mp4 | 7.2 MB |
| 7. Building a Machine Learning Web Service/1. Building a Machine Learning Web Service Concepts.srt | 5.4 KB |
| 7. Building a Machine Learning Web Service/2. Building a Machine Learning Web Service Code.mp4 | 11.9 MB |
| 7. Building a Machine Learning Web Service/2. Building a Machine Learning Web Service Code.srt | 7.4 KB |
| 8. Conclusion/1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).mp4 | 6.3 MB |
| 8. Conclusion/1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).srt | 3.5 KB |
| 9. Appendix FAQ/1. What is the Appendix.mp4 | 5.5 MB |
| 9. Appendix FAQ/1. What is the Appendix.srt | 3.7 KB |
| 9. Appendix FAQ/10. Python 2 vs Python 3.mp4 | 7.8 MB |
| 9. Appendix FAQ/10. Python 2 vs Python 3.srt | 6.1 KB |
| 9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 | 29.3 MB |
| 9. Appendix FAQ/11. What order should I take your courses in (part 1).srt | 16 KB |
| 9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 | 37.6 MB |
| 9. Appendix FAQ/12. What order should I take your courses in (part 2).srt | 37.6 MB |
| 9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 | 37.8 MB |
| 9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt | 7.9 KB |
| 9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 | 186.4 MB |
| 9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt | 20.1 KB |
| 9. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 | 43.9 MB |
| 9. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.srt | 14.5 KB |
| 9. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 | 24.5 MB |
| 9. Appendix FAQ/5. How to Code by Yourself (part 1).srt | 22.8 KB |
| 9. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 | 14.8 MB |
| 9. Appendix FAQ/6. How to Code by Yourself (part 2).srt | 13.3 KB |
| 9. Appendix FAQ/7. How to Succeed in this Course (Long Version).mp4 | 13 MB |