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Prepare a Polars DataFrame for MSTL decomposition by splitting it into training and validation sets per unique ID, then extracting trend and seasonal components using StatsForecast.
Executes a comprehensive time series forecasting pipeline using StatsForecast and Polars, featuring 52-week seasonality, specific cross-validation parameters (h=5, n_windows=10), loop-safe ensemble aggregation, WMAPE calculation, non-negative constraints (including intervals), visualization, and ...
Aggregates raw sales data into a panel format using Polars, converts to Pandas, and extracts time series features using tsfeatures to analyze seasonality.
Execute a univariate time series forecasting pipeline using StatsForecast and Polars. Includes ID concatenation, cross-validation, ensemble generation (AutoARIMA, AutoETS, DynamicOptimizedTheta), non-negative constraints, outlier-aware metrics, and formatted output with specific type casting for ...
Time series forecasting skill for business metric prediction and demand planning
Agent skill for Data Scientist, ML / AI Engineer, Data Analyst, published by Jeremy Longshore <jeremy@intentsolutions.io>. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Data Analyst, published by Jeremy Longshore <jeremy@intentsolutions.io>. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Data Analyst, ML / AI Engineer, published by Jeremy Longshore <jeremy@intentsolutions.io>. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Data Analyst, ML / AI Engineer, published by Jeremy Longshore <jeremy@intentsolutions.io>. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Data Analyst, published by David-Li0406. Project details and file access are provided by the publisher.
Agent skill for Marketing Analyst, Data Scientist, Product Manager, published by MikeTreml. Project details and file access are provided by the publisher.
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