Feature Engineering for Machine Learning

-- From beginner to advanced Soledad Galli udemy

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1. Introduction
2. Types of variables
3. Types of problems in variables
4. Machine learning model requirements
5. Engineering missing values(NA) in numerical variables
6. Engineering missing values (NA) in categorical variables
7. Bonus: More on engineering missing values
8. Engineering outliers in numerical variables
9. Engineering rare values in categorical variables
10. Engineer labels of categorical variables
11. Engineering mixed variables
12. Engineering dates
13. Feature Scaling
14. Gaussian Transformation
15. Discretisation
16. NEW: Engineering features with Feature_Engine
17. Putting it all together