Telecom Churn Prediction Github. This project aims to predict customer churn in the telecom se

This project aims to predict customer churn in the telecom sector using data-driven modeling, prioritizing high recall to maximize retention and … Supervised Prediction of churn rate of a Telecom Company. By identifying customers who are likely to leave, the company … This repository contains a data-driven solution for predicting customer churn in the telecom industry using Databricks, Apache Spark, and Machine Learning. They can expect that if the model says a customer will churn, it’s very likely that that customer will … A fully automated ML pipeline for customer churn prediction in telecom, orchestrated with Apache Airflow. The app uses a trained machine learning model to predict whether a customer is … A python web app which uses machine learning to predict that whether customer will churn or stay with Telecom company services in future. Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Build predictive … Binary Classification in Python with two models. Identifying customers who are likely to leave the service helps companies retain them through … Predicting Churn in telecom industry. The aim of the project is to build a predictive model that can identify customers likely to churn (i. In this project, we will analyse customer-level data of a leading telecom firm, build … This project focuses on exploratory data analysis (EDA), advanced analytics, and visualization to understand customer churn patterns in the telecom industry. ) to predict whether a particular customer … This repository contains the code for analyzing telecom churn rate. orfx4fs35a
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