Credit card customer churn

a beginner friendly machine learning model used to predict if the customer will churn or not with accuracy 96%

i cleaned data and found relations between them then i visualized those relations using (matplotlib and seaborn)

i applied 4 algorithms and compared between their performance (Random forset , XGBoost , SVM , Decision tree)

after that i did a grid search to get the best numbers for each algorithm and see the accuracy