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 ...

Now an IChemE‑approved course. Participants will be introduced to real‑world process data challenges and how to solve them with Industrial AI and data science. You will learn how GenAI tools (ChatGPT, ...