Predicting User Churn Using Machine Learning with Missing Data

stripe Machine Learning Integration Task Based on the given user data table, predict whether a user will churn in the next 90 days. Data Description The data includes numerical features, categorical features, and randomly generated features. Missing values are present in the data. Requirements Provide a complete model solution including data preprocessing, model training, and testing. Select appropriate evaluation metrics and perform analysis. Internet access is permitted and screen sharing is allowed. Example Input Example data input with placeholders for columns