Polars Feature Engineering: Lags, Diffs, and Percent Changes

· · July 1, 2026, 2:04 p.m.
Data Science 2026 Feature-engineering Machine Learning Machine Learning Data Science Python Programming Feature-engineering
Summary
This blog post discusses crucial techniques in feature engineering for Machine Learning models, focusing on the importance of incorporating lagged values, differences, and percent changes in data, particularly in predicting stock prices or sales.
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