My project is about to predict churn credit card customers with the following four prediction models, including Logistic regression, K Nearest Neighbors, Decision Tree, Random Forest, and Bagging. The dataset from Kaggle consists of 10,127 customers and 23 features mentioning their age, salary, marital status, education level, credit card limit, credit card category, etc. We will use this dataset to do data visualizations to predict churning customers with machine learning models. Finally, I will combine the results from predictions to ask the research questions.