GitHub - mayssakorbi/Predictive-analysis-of-customer-churn-in-the-telecommunications-sector: This project involved analyzing 10,000 customer records, applying data preparation techniques, and training supervised machine learning models, achieving 94% accuracy. Model efficiency was further refined using cross-validation and hyperparameter tuning, ensuring reliability and performance

mayssakorbi / Predictive-analysis-of-customer-churn-in-the-telecommunications-sector Public template

Notifications You must be signed in to change notification settings
Fork 0
Star 0

This project involved analyzing 10,000 customer records, applying data preparation techniques, and training supervised machine learning models, achieving 94% accuracy. Model efficiency was further refined using cross-validation and hyperparameter tuning, ensuring reliability and performance

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Telecom Churn Customer.ipynb		Telecom Churn Customer.ipynb
WA_Fn-UseC_-Telco-Customer-Churn (1).csv		WA_Fn-UseC_-Telco-Customer-Churn (1).csv