Skip to content
#

retention-strategies

Star

Here are 3 public repositories matching this topic...

Language: All
Filter by language
All 3 HTML 1 Jupyter Notebook 1 Python 1

M3GHAN / Customer-Churn-Prediction-RFM-Logistic-Regression

Star 1

This project implements a customer churn prediction model using Recency, Frequency, and Monetary (RFM) analysis. It classifies customers into "Churned" or "Retained" categories using a logistic regression model based on customer behavior. The model helps businesses identify at-risk customers and design targeted retention strategies.

data-science machine-learning logistic-regression customer-segmentation rfm-analysis churn-analysis customer-churn-prediction retention-strategies
  • Updated Oct 6, 2024
  • Jupyter Notebook

QuantaScriptor / AI-Enhanced-Customer-Retention-System-AIECRS

Star 0

AI-Enhanced Customer Retention System (AIECRS) is an AI-based system designed to predict customer churn and suggest retention strategies.

python customer-retention data-science machine-learning ai tensorflow ml business-intelligence neural-networks data-analysis predictive-modeling customer-success churn-prediction customer-analytics ai-strategies customer-experience customer-engagement customer-churn retention-strategies ai-solutions
  • Updated Sep 5, 2024
  • Python

Improve this page

Add a description, image, and links to the retention-strategies topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the retention-strategies topic, visit your repo's landing page and select "manage topics."

Learn more