Group project of the kaggle competition "House Prices - Advanced Regression Techniques" wherein housing data from a town in the U.S. was used to train a model to predict the market selling price of other houses. The data was cleaned and underwent feature selection before various machine learning models were applied, detailing the statistical accuracy results for each model tried.