Workflows Index

This section contains end-to-end Jupyter Notebook templates for common data science tasks. Each example uses a built-in dataset and goes through steps like loading and transforming the data, creating models (in scikit-learn, darts, or other packages), and evaluating results.

Workflow	Description
End-to-End Data Science Project	Basic workflow and tools for developing and sharing data science projects.

Task	Description
Classification with Tabular Data	Training a random forest classifier with scikit-learn on the Palmer penguins dataset.
Clustering with Mixed-Types Data	Clustering using different models for the mixed-datatypese Palmer penguins dataset.
Forecasting with ML models	Training several ML models with the darts package on the univariate sea ice dataset.
Regression with Tabular Data	Training several regression models with scikit-learn on the tips dataset.