A program which takes various information about students, including their name, age, school, family status, absences, grades, and more to predict how often they are to drink based on a Lasso Regression on historical data. Lasso implemented with scikit learn uses L1 regularization and a grid search done to optimize model parameters. student-mat.csv includes the data being worked with for this model, Model Summary.png includes information about the model and attributes of each student being included, and drinkingPredictor.py contains the python code.
jj7302/drinkingPredictor
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