1
Install Scikit-Lego
Run `pip install scikit-lego` or `conda install -c conda-forge scikit-lego` to install the package.
2
Import Components
Import desired transformers or models, for example: `from sklego.transformers import RandomAdder`.
3
Build Pipeline
Combine Scikit-Lego components with scikit-learn tools in a pipeline, e.g., `Pipeline([('scale', StandardScaler()), ('random_noise', RandomAdder()), ('model', LogisticRegression())])`.
4
Fit and Use Pipeline
Fit the pipeline on your data and use it for predictions or transformations as needed.