Section 1
General Linear Models
1. Section Overview
04:25 (Preview)
2. The Foundations of ML - Curve Fitting
21:39 (Preview)
3. Regression Walkthrough
23:47 (Preview)
4. Underfitting and Overfitting
21:50
5. Controlling ML Models - Regularisation in Practise
16:28
6. Exploring Simple Relationships - Correlations
11:28
7. Finding Nonlinear Relations - Predictive Power Score
11:09
8. Correlation & PPS Walkthrough 馃搨
24:27
9. From Regression to Classification - Logistic Regression
20:27
10. Logistic Regression in Wild
15:48
11. Looking through the Right Lens - Principle Component Analysis
16:46
12. Looking in the Right Direction - Exploring PCA
21:23
13. Conclusion, Certificate, and What Next?
9. From Regression to Classification - Logistic Regression
General Linear Models
Next Lesson
10. Logistic Regression in Wild