The objective is to build a classifier for prediction of customer churn.
This dataset was taken from Kaggle and has 10000 samples.
By carefully observing the attributes,the appropriate visualization has been performed.
The target variable here is 'exited'.
Used algorithms like Support Vector Machine , Random Forest , Decision Trees and K-nearest neighbors.