Lasso Regression: A Key Tool for AI Quant Trading Models

This tutorial explains Lasso regression, a regularized linear model that automatically selects features by driving some coefficients to zero. It demonstrates implementation in Python using scikit-learn, showing how noise features are eliminated. The technique is particularly valuable in quantitative finance for building sparse, stable models from high-dimensional data.