churn-user-prediction

nadaataiyab/diabesties

Predicting user churn for a mobile health app called Diabesties. Capstone project for Galvanize Phoenix Data Science Immersive, October 2017.

AtashfarazNavid/MachineLearing-ChurnModeling

Machine-Learning-1

coletangsy/MLProject-Churn-Prediction

This repository holding a case study on analysis churn in Telecom and building a machine learning model to classify the customer who is likely to churn, which includes EDA, Prediction Model Building, Presentation PDF.

raunak274/Churn_Analysis

Importance of churn Analysis and some concept upon it

rorycawley/MSc-Dissertation

DissertationCA2

atrishi/Telecom-Churn-Prediction-Model

Built a logistic regression based predictive model to identify customers at high risk of churn and identify the main indicators of churn.

dwsmith1983/teleco_churn_kaggle

Predicting Teleco churn dataset from Kaggle. In this repo, I take 3 solution notebooks and combine the analysis into one with some updates.

eiliaJafari/tree-based-customer-churn-rate

Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .

HassaanSaleem/CustomerChurn

Lal4Tech/Churn-Prediction

Different methods for churn prediction

LaurentVeyssier/Minimizing-Churn-of-subscription-product-through-usage-analysis

Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits

pavankumarbo/Airbnb-User-Booking-Prediction

R code to predict booking destination of new user

shinho123/23.11.10-1st-Korean-Society-of-Industrial-Engineers

2023년 11월 대한산업공학회(UNIST) : 다중 역할 경험을 고려한 게임 유저 이탈 예측: 롤 게임을 중심으로, 1저자

ztqsteve/Music-Box-Project

Predict users churn for a music box app.

akhilamod/Churn_management

Predict customer churn at a Telecom Company

alimfa/churn-rate-predition

Classificação de clientes para redução da Churn Rate

BharatMaheshwari96/Employee-churn-prediction

carlostomeh/TG_Analitycs_Solutions

Projeto que engloba soluções de Analitycs para empresas do mercado financeiro. Neste projeto envolvemos problemas de Fraud Detection, Churn Detection e Credit Score.

Foroughmo/Telco-Customer-Churn

Focused customer retention programs

hhej/sparkify

Sparkify User Churn Prediction

imumi17/Telecom-Churn-Case-Study

Telecom-Churn-Case-Study

InoneSummer/wowproject

The effect of social interaction on individual churn decision in MMORPG Game

jajokine/Business-Cases

Exploring various business cases by using a wide range of statistical methods and machine learning techniques

JayDS22/Churn-Prediction

Build an End-to-End Data Science Project to predict customer churn for the Telecom industry and provide prescriptive countermeasures.

pareshg18/Predicting-Customer-Churn

Analyzing factors leading to customers churning; predicting which customers' will churn?

phaecki/Customer-churn-prediction

Verwendung von Tidymodel zur Vorhersage der Kundenabwanderung. | Using Tidymodels to predict customer churn.

SolanaO/Customer_Churn_Prediction

Binary classification project in PySpark on an AWS-EMR cluster to predict customer churn.

VictorLJay/Customer-Churn-Predictor

Churn analysis predictor, combining TensorFlow and Supervised Machine Learning

vivek-101/Telecom_Churn

Predicts weather the customer will stay with the current telecom company or leave

wainaina-peter/Customer-Churn-Prediction-Predictive-Analysis-

This repository contains a customer churn prediction model implemented using logistic regression.

BharatMaheshwari96/churnprediction

bitrao/Iranian-Telecom-Customer-Churn-Prediction

Prediction model for customer churn status of a Iranian Telecom company

coderjolly/customer-churn-prediction

It is prediction strategy used to understand the the factors required to retains customers. Showcased classical machine learning algorithm to analyse and understand the telecom customer dataset using SVMs, Decisions Trees, Random Forests etc.

shivangsingh26/Telco_Churn_Analysis

A comprehensive project predicting customer churn for a telecommunications company using Logistic Regression, Decision Trees, and Random Forest models. Includes data preprocessing, feature engineering, model evaluation, and result visualization to provide actionable insights for customer retention.

sowmini4901/CustomerChurnPrediction

For any company, customer acquisition is important. At the same time, retaining the existing customers is also very important. So for predicting whether the customer will churn or not can be done easily using neural networks.