https://github.com/umarilly/customer-churn-prediction

Utilizing machine learning models like Random Forest, Support Vector Machine and Logistic Regression to predict customer churn. Analyzing data for patterns and factors influencing churn. Developing a pipeline for retention strategies, aiding businesses in retaining customers
https://github.com/umarilly/customer-churn-prediction

Last synced: 11 months ago
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Utilizing machine learning models like Random Forest, Support Vector Machine and Logistic Regression to predict customer churn. Analyzing data for patterns and factors influencing churn. Developing a pipeline for retention strategies, aiding businesses in retaining customers

• Host: GitHub
• URL: https://github.com/umarilly/customer-churn-prediction
• Owner: umarilly
• Created: 2024-03-26T05:44:31.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-26T06:38:52.000Z (almost 2 years ago)
• Last Synced: 2025-02-08T15:46:27.651Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 506 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Customer-Churn-Prediction

Utilizing machine learning models like Random Forest, Support Vector Machine and Logistic Regression to predict customer churn. Analyzing data for patterns and factors influencing churn. Developing a pipeline for retention strategies, aiding businesses in retaining customers