Topic: "churnprediction"
shantanud632/bank-churn-prediction
ML project using Logistic Regression, Random Forest, and XGBoost to predict customer churn.
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Mutsinz1/Churn_Prediction_Project
This project focuses on predicting customer churn using machine learning algorithms. By analyzing historical customer data, the model aims to identify patterns that indicate a customer is likely to stop using a service, enabling businesses to take proactive measures to retain valuable customers.
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doruq-IT/Customer_Churn_Analysis_Feature_Engineering
This project develops a machine learning model to predict customer churn for a California-based telecom company using data from 7043 customers. Our goal is to enhance customer retention strategies through detailed data analysis and feature engineering.
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Kekyei/Churn_Model
This repository contains the data, code, and documentation for a project to analyze and predict churn in PowerCo's SME customer segment. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict churn based on price sensitivity and other relevant factors.
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Rahul-404/Churn-Prediction
The "Churn Prediction" project analyzes customer data to identify factors leading to churn 📉🤔. Using machine learning algorithms, it predicts which customers are likely to leave, enabling businesses to implement targeted retention strategies and improve customer satisfaction.
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crosstherubicon/Churn_Prediction
Churn prediction using Random Forest and Decision Tree Classifiers.
Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
