A Kaggle Project

This is a machine learning project I did on Kaggle to predict sale prices of houses. After cleaning and transforming the data I played with various models such as linear regression and random forests, and tried optimizing them a bit. After that I got mediocre results, so I made what I call a "kitchen sink" model. Basically, I threw everything into an XGBoost model, scaled the numerical features, one-hot encoded the categorical features, filled all missing values, and turned the knobs on the hyperparameters. Once I fit the model I got a score in the top 10%!