Sparkify is a digital music service similar to Spotify. Users in Sparkify either use a free tier which includes ads in between songs, or they can have the premium subscription, paid monthly, which does not have any ads. Users can upgrade, downgrade, or cancel their service at any time. Our task in this project is to perform an analysis of the customers' data and come out with a customer churn predicting model. Here are the steps: Clean data: fill the miss values, correct the data types, drop the outliers. EDA: exploratory data to look at features, distributions, and correlation between columns. Feature engineering: extract and found customer-features and customer-behavior-features; Implement standscaler on numerical features. Train and measure models: logistic regression, linear svm classifier, decision tree and random forest classifier were used to train a baseline model and tuning a better model from best of them. It is worth mentioning that this data is unb...