The objective of this project is to build a logistic regression model to accurately predict heart disease in patients given a wide set of variables (chest pain, sex, cholesterol levels, resting ECG results, etc).

The objective of this project was to determine if white and red wine alcohol content could be predicted from wine data including levels of different chemical components (ie, chloride, sulphur dioxide, citric acid) and scales of various wine characteristics (ie, fixed acidity, pH, density).