A machine-learning project predicting the market value of Magic: The Gathering cards from characteristics such as rarity, type, release set, and other structured features.
The workflow includes data collection and cleaning, exploratory analysis, feature engineering, regression modeling, performance evaluation, and interpretation of the features associated with price variation.