Tree methods for customer churn prediction

GOAL: Create a model to predict whether or not a customer will Churn.

The project consists of these steps:

• Exploratory Data Analysis
• Churn Analysis
• Segmenting customers based on their tenure
• Creating Cohorts based on Tenure
• Predictive Modeling
• Trying out different methods: A Single Decision Tree, Random Forest, AdaBoost
• Comparing the performances