telecom-churn-prediction

There are 21 repositories under telecom-churn-prediction topic.

  • sahidul-shaikh/telecom-churn-case-study

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

    Language:Jupyter Notebook141027
  • debmalya92/telecom-churn-prediction

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

    Language:Python7208
  • prateekralhan/Telecom-Churn-Case-study---IIITB-Assignment

    Telecom churn prediction based webapp

    Language:Jupyter Notebook32020
  • Telecom-churn-case-study

    sailyshah/Telecom-churn-case-study

    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.

    Language:Jupyter Notebook3101
  • 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 Notebook3102
  • 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 Notebook2100
  • 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:Python2102
  • Telecom-churn-analysis-and-prediction

    anikch/Telecom-churn-analysis-and-prediction

    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.

    Language:Jupyter Notebook1100
  • dhivyeshrk/Customer-Churn-Prediction

    Derive insights of factors contributing to customer churn in the Telecom Industry.

    Language:Jupyter Notebook1100
  • aps19/Telecom-Delinquency-Model

    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.

    Language:Jupyter Notebook0100
  • AshaiReddy/Telecom-Churn-Case-Study

    This repository uses Machine Learning models to gather insights on Customer Retention rate in Telecom Industry.

    Language:HTML0101
  • DDILLOUD/Telecom-Churn-Prediction-Model

    This repository hosts a logistic regression model for telecom customer churn prediction. Trained on historical data, it analyzes customer attributes like account weeks, contract renewal status, and data plan usage to forecast churn likelihood. Its insights aid telecom companies in proactively retaining customers and mitigating churn rates.

    Language:Jupyter Notebook0100
  • 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 Notebook0200
  • imumi17/Telecom-Churn-Case-Study

    Telecom-Churn-Case-Study

    Language:Jupyter Notebook0102
  • sukhijapiyush/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.

    Language:Jupyter Notebook0103
  • abhiram-ds/telecom_churn_case_study

    Telecom Churn analysis using various tree based classification models

    Language:Jupyter Notebook101
  • akashkriplani/telecom-churn-case-study

    upGrad's Telecom Churn Case Study hosted on Kaggle platform

    Language:Jupyter Notebook10
  • Asfiya-edu/Machine-Learning-Projects

    This repository showcases machine learning projects covering diverse topics such as book recommendations, New York Airbnb analysis, and telecom churn prediction. Each project utilizes various techniques and algorithms to tackle specific challenges and extract meaningful insights from the data.

    Language:Jupyter Notebook
  • atharvapathak/Telecom_Churn_Case_Study

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

    Language:Jupyter Notebook101
  • PurvaKaiwart/Telecom-customer-churn-Prediction-

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

    Language:Jupyter Notebook10
  • 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 Notebook10