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Machine Learning with Python

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decision-tree-classifier grid-search-cross-validation roc-auc-curve confusion-matrix machine-learning

telecom_customer_churn_prediction's Introduction

Telecom_Customer_Churn

This is a Customer churn dataset. Customer Churn is when an existing customer stops doing business with a company. Here are the columns for the dataset:

Features:

  • Account_Length
  • Vmail_Message
  • Day_Mins
  • Eve_Mins
  • Night_Mins
  • Intl_Mins
  • CustServ_Calls
  • Intl_Plan
  • Vmail_Plan
  • Day_Calls
  • Day_Charge
  • Eve_Calls
  • Eve_Charge
  • Night_Calls
  • Night_Charge
  • Intl_Calls
  • Intl_Charge
  • State
  • Area_Code
  • Phone

Target variable:

  • Churn

Objectives:

Our goal is using Decision Tree classifier we can predict customer churn their cellular plan at a given point in time.

Reference of this dataset: https://learn.datacamp.com/courses/marketing-analytics-predicting-customer-churn-in-python

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