This project aims to predict house prices using the Ames Housing dataset. The goal is to preprocess the data, train a stacking model with multiple base models, and ...

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Sparse regression is a group of machine-learning methods that tries to make accurate predictions while using only a small number of variables. One widely used example is the LASSO. These methods are ...