GitHub topics: telecom-churn-prediction

Repositories

jaimyjoker/Churn-Modeling-Classification

This repository contains a Churn Classification model built using TensorFlow and an Artificial Neural Network (ANN) to predict customer churn. A Streamlit interface allows users to interact with the model and visualize predictions.

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AbhishekSinghDhadwal/TelecomChurnPredictor

Notebook containing end-to-end analysis and modeling for churn prediction using dimensionality reduction, feature engineering, and classification techniques.

Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

shruthimohan03/Predictive-Customer-Retention-A-Telecom-Solution

Telecom companies face significant challenges with customer churn, often losing customers due to dissatisfaction. This project explores a novel solution for proactively identifying and addressing customer dissatisfaction before it leads to churn. This project was done during a 36-hour hackathon at VIT Chennai and presented to a Nokia representative

Language: Python - Size: 2.57 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Saba-Gul/Telecom-Churn-Prediction-and-Analysis

To explore and analyze the Telecom Churn dataset to understand factors contributing to customer churn and to develop a predictive model that can forecast customer churn with high accuracy

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Ansuman21/Telecom-Churn-Case-Study

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.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Priyanshu88/Telecom-Churn-Prediction-Streamlit-App

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.

Language: Python - Size: 108 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

urbanclimatefr/telecom-customer-churn-prediction

Supervised learning algorithm was used to build churn prediction model to help solve a telecoms company's customer churn problem.

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 2

atharvapathak/Telecom_Churn_Case_Study

Build a classification model for reducing the churn rate for a telecom company

Language: Jupyter Notebook - Size: 197 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

prateekralhan/Telecom-Churn-Case-study---IIITB-Assignment

Telecom churn prediction based webapp

Language: Jupyter Notebook - Size: 207 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 20

debmalya92/telecom-churn-prediction

Two differrent approach to predict Churn customers and finding out important variables that drives churn

Language: Python - Size: 26.7 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 4

deepakrameshgowda/TELECOM_CHURN

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.

Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0