Ml: Classification

1. Classification learning.

2. Then use data preparation

3. Setting up the validation framework

4. EDA

5. Feature importance: ratio

6. Feature importance: Mutual information

7. Feature importance: Correlation

8. One-hot encoding

9. Training logistic regression with Scikit-Learn

10. Model interpretation

#mlzoomcamp