Feature Engineering

Creating informative features for ML models.

Feature Types

Numerical Features

from sklearn.preprocessing import StandardScaler, RobustScaler

# Scaling
scaler = StandardScaler()  # Mean=0, Std=1
robust_scaler = RobustScaler()  # Robust to outliers

# Log transform (for skewed data)
df['log_income'] = np.log1p(df['income'])