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Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .

License: MIT License

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churn-analysis churn-prediction churn-user-prediction customer-churn customer-churn-analysis customer-churn-prediction customer-churn-prediction-with-machine-learning matplotlib numpy pandas

tree-based-customer-churn-rate's Introduction

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

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