Beam guides

Working guides and notebooks for Beam, PredictHQ's relevancy engine. Run Beam before configuring features or building forecasts - the analysis_id it produces calibrates everything downstream.

Recommended order:

1. Understanding demand variability and event contribution in Beam - how to read what Beam tells you about your demand
2. ML features by location notebook - from analysis to model-ready features, per location
3. ML features by group notebook - one consistent feature set across many locations sharing a model
4. Sample demand data - the demand data format Beam expects

New to Beam? Read What is Beam? first.