Preprocessing Techniques

There are several types of preprocessing techniques that need to be used before starting the training process.

1. Missing Value Treatments:

— — — — — — (1.1) Replace with mean/median/mode

— — — — — — (1.2) Drop rows/columns

2. Encoding Categorical Variables: (Convert String type to Numeric)

— — — — — — (2.1) Label encoding

— — — — — — (2.2) One-hot encoding

2. Feature Scaling and Normalization: (Numeric)

— — — — — — (2.1) Min-max scaling

— — — — — — (2.2) Normalization