Hi! This is a small project show casing some Exploratory Data Analysis (EDA) and constructing basic supervised learning methods and ensemble Random Forest regression models to predict red wine quality from various physical characteristics. Check out my code and results here on Kaggle.
This is a great dataset for practicing your modeling skills on quantitative data - it's tidy, clean, and you don't even need to mess with missing values! I'll continue to add more models and model diagnostic steps over time. Next up is hyperparameter tuning for the random forest regressors.
