This repository contains the code and experimental results for the course project Efficient Algorithms for Lasso Regression for Applied Machine Learning in Python - LMU. The project studies the Lasso ...

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 ...

Many datasets contain hundreds or thousands of variables, even though only a small number may be useful for prediction. Sparse regression methods, such as the LASSO, try to build accurate models while ...

Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States Department of Chemical and Biological Engineering, Princeton University, Princeton, ...