Polars Feature Engineering: Lags, Diffs, and Percent Changes

· · July 1, 2026, 2:04 p.m.
Machine Learning Data Science Feature-engineering polars Feature-engineering Machine Learning Data Science Stock Price Prediction
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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