Predicting Credit Card Approvals

* This model predicts if a person's application for a credit card would get approved or not given some information about that person (Education Level, Employed, Years, Employed, Credit Score, Income, etc.).

* We will use "Credit Card Approval" dataset from UCI, start by inspecting the data, preprocessing [missing value imputation, label encoding, scaling], then fit the logistic regression model and improve the hyperparameters using Grid Search with cross-validation 5 folds to get 85% accuracy.