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 ...
Machine learning classification project for the Kaggle Spaceship Titanic competition. Includes EDA, feature engineering, preprocessing pipelines, Logistic Regression, Random Forest, XGBoost, and model ...
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