a. State your business question:" Can we predict which customers are most likely to churn (cancel their subscription) based on their usage data? "in the Python code file. A dataset containing information on customer usage (e.g., number of login sessions per month, number of customer service interactions, etc.) and demographic information (e.g. age, gender, location), as well as a binary label indicating whether the customer has churned or not.

b. Introduce your data set related to this question and summarize your data set (use at least one table and one plot).
c, Present the heatmap for your data set and determine whether some columns need to be removed or not.