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