There are 1 repository under telecom-churn-prediction topic.
Build a classification model for reducing the churn rate for a telecom company
Two differrent approach to predict Churn customers and finding out important variables that drives churn
Telecom churn prediction based webapp
Analysing customer-level data of a leading telecom firm, building predictive models to identify customers at high risk of churn and identifying the main indicators of churn.
Supervised learning algorithm was used to build churn prediction model to help solve a telecoms company's customer churn problem.
In this project, you will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.
This is a Streamlit web application for predicting Telecom Churn. The app uses a trained machine learning model to predict whether a customer is likely to churn or not based on certain input features.
Analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn (usage-based churn) and identify the main indicators of churn.
Derive insights of factors contributing to customer churn in the Telecom Industry.
A delinquency model which can predict in terms of a probability for each loan transaction, whether the customer will be paying back the loaned amount within 5 days of insurance of loan.
This repository uses Machine Learning models to gather insights on Customer Retention rate in Telecom Industry.
Designing strategies to pull back potential churn customers of a telecom operator by building a model which can generalize well and can explain the variance in the behavior of different churn customer. Analysis being done on large dataset which has lot of scope for cleaning and choosing the right model for prediction.
Telecom-Churn-Case-Study
Analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.
Telecom Churn analysis using various tree based classification models
Build a classification model for reducing the churn rate for a telecom company
Build a classification model for reducing the churn rate for a telecom company