Data Preprocessing Utilities

Reusable data preprocessing for ML pipelines.

Features

• Missing value imputation
• Feature scaling (Standard, MinMax)
• Categorical encoding (OneHot, Label)
• Text tokenization

Usage

from preprocessing import Pipeline
pipe = Pipeline([Imputer(strategy='mean'), Scaler(method='standard')])
X_clean = pipe.fit_transform(X)

License

MIT