Data Preprocessing.

1. Numeric Features

1.1 Scaling

1.2 Remove Outliers

1.3 Rank - sets spaces between sorted values to be equal.

1.4 Other useful transformations.

1.5 Feature generation is powered by 1) Prior knowledge, Exploratory data analysis.

2. Categorical and Ordinal Features

2.1 Label Encoding, maps categories into numbers

2.2 Frequencey encoding, maps categories to their frequencies.

2.3 One-hot Encoding

2.4 Sumarize

3. Datetime and Coordinates

3.1 Datetime

3.2 Coordinates

4. Handling Missing Values.