customer-churn-data-mining

Overview

• Applied data mining techniques
• Using telecommunication customer churn dataset

from https://www.kaggle.com/datasets/blastchar/telco-customer-churn

• Python Language

Repository Explanation

• telco.csv ------> dataset
• telco_ds_code ------> code files, the analysis and evaluation
• telco_customer_churn_dm_report.pdf ------> detailed report

Report

https://github.com/ilkerbas/customer-churn-data-mining/blob/main/telco_customer_churn_dm_report.pdf

The report includes

• Description of The Project and The Dataset
• Applied Data Preparation Techniques
• Obtained Results

sections.

Applied Algorithms

• Support Vector Machines
• KNN Nearest Algorithm
• Decision Trees
• Logistic Regression

Applied Test Techniques

• 90% Train, 10% Test Method
• N-Fold Cross Validation (n=10)