• Performed Explanatory Data Analysis and applied extensive feature engineering, feature selection and on Diabetes patient’s hospital readmission data.
• Built Decision Tree, Random Forest and Logistic classifiers in python using Scikit-Learn to predict which patients might be readmitted to the hospital.
• Applied cross validation on the training data to select the best parameters of the model.
• Determined the model’s performance by comparing recall and precision on test data to choose the best Machine Learning Algorithm.