A project leveraging the UCI Adult Income dataset to predict income brackets using a RandomForestClassifier. Emphasis is on feature engineering, data preprocessing with One-Hot Encoding, and model optimization through hyperparameter tuning.

An analytical approach to predicting California housing prices using the RandomForestRegressor and LinearRegressor, with a focus on data preprocessing and feature engineering.