I use Python to predict housing prices in California. Specifically, I perform regressions with the Random Forest algorithm, and I focus on Scikit Learn's stratified sampling, imputers, pipelines, K-fold cross validation, and fine-tuning of hyperparameters through grid search.
Output is displayed in the file California House Pricing.ipynb.