Real-Data Cases

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Mini-cases that connect the visual topics to working machine-learning workflows: dataset, pipeline, metric, common failure mode, and a notebook-ready starting point.

Mini-Cases

Each case is intentionally small: enough structure to move from intuition to implementation, with a full JupyterLite notebook available when you want to run the workflow in the browser.

4 Cases Real Data Metrics Notebook Ready
Evidence note: Model-evaluation cases use established statistical methods. Market backtests are educational and heuristic until validated with point-in-time data, costs, slippage, and out-of-sample testing.
Notebook companion

Use the full notebook when you want the cases as executable Python workflows instead of copy snippets.

Open JupyterLite Lab Open real-data lab notebook Notebook notes
Pattern is Everything · 2026

Vanilla HTML · CSS · JavaScript — no frameworks, no dependencies

♥ Patterns for Good