vishnupriyanpr/PrediChurn
A full ML pipeline for customer churn prediction in telecom, banking, or SaaS. Includes robust data cleaning, automatic feature engineering, model training/tuning (Logistic Regression, RF, XGBoost), interpretability, and interactive dashboards for actionable business retention insights.
This tool helps businesses like telecom, banking, or SaaS identify which customers are likely to cancel their service. You provide raw customer data, and it delivers predictions of churn risk, key reasons why customers might leave, and actionable recommendations to improve retention. It's designed for business analysts, marketing managers, and retention strategists to proactively save at-risk revenue.
No commits in the last 6 months.
Use this if you need a systematic way to predict customer churn, understand its drivers, and receive concrete, data-backed strategies to reduce customer attrition and protect revenue.
Not ideal if you're looking for a simple, one-off report or if your customer data is not well-structured with clear identifiers and historical usage information.
Stars
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Language
HTML
License
MIT
Category
Last pushed
Aug 22, 2025
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