Project on fraud detection using different machine learning models Data from UCI Machine Learning Repository
Python 3.5
Step 1: Applying Logistic Regression on Data to achieve a 83.33% accuracy on predicting the credit card approvals
Step 2: Use GridSearchCV Methods to retrieve the best score and corresponding best parameters, improving the accuracy from 83.33% to 85.51%