An open API service providing repository metadata for many open source software ecosystems.

Topic: "churn-prediction"

ndumbe0/ML-MODELS-and-EDA-Streamlit

Streamlit app deplyment of the models and an overview of the EDA process

Language: Python - Size: 274 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

sanskaryo/Churn-Prediction-Using_ANN

Banking customer churn prediction using ann

Language: Jupyter Notebook - Size: 466 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Gustavo-michel/Churn-BankCostumer-Predict

Data analysis and churn prevent algorithm for a bank dataset with Machine Learning and deployment

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/ML-Project-Customer-Segmentation

📈 Implementing clustering algorithms, it provides valuable insights that can targeted marketing strategies, improve customer relationship management.

Language: Jupyter Notebook - Size: 31.5 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

SunnyBibyan/Customer_Churn_Prediction

This project aims to build a predictive model that helps identify customers at risk of churning (leaving the service) in a telecommunications company. By leveraging machine learning techniques, we can help businesses take preemptive actions to retain valuable customers and reduce churn rates.

Language: Jupyter Notebook - Size: 740 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

brendadenisse16/From-Scratch-Logistic-Regression-and-Decision-Trees-for-Churn-Prediction

Churn prediction for banking customers using logistic regression and decision trees, implemented from scratch in R.

Language: R - Size: 273 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

charans2702/Telecom_Churn_Prediction

Predicting telecom customer churn using machine learning. This project analyzes customer data to identify patterns and predict those at risk of leaving, enabling proactive retention strategies and improving customer satisfaction. Includes data preprocessing, feature selection, and model evaluation.

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Mikaremi/Phoenix-Analytics

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

hakanco/Bank_Customer_Churn_Model

The Bank Customer Churn Model is a predictive analytics solution using a high-accuracy Random Forest model to identify high-risk customers, enabling banks to proactively retain valuable customers, minimize revenue loss, and inform targeted retention initiatives through user-friendly streamlit web application. User can access churn risk probability.

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Lakshitalearning/ChurnInsight

Customer Churn prediction means knowing which customers are likely to leave or unsubscribe from your service.

Language: Jupyter Notebook - Size: 5.38 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Mchavhan1998/Customer_churn

customer churn data to identify key factors contributing to customer attrition and built predictive models to forecast churn

Language: Jupyter Notebook - Size: 520 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

dasjyotishka/Industrializing-an-Employee-Churn-Prediction-model-using-MLOps

This project was the outcome of the Corporate Reseach Project as a part of Masters in Data Sciences and Business Analytics program at ESSEC-CentraleSupelec and monitored by Deloitte. In this study, we propose and evaluate a predictive model for employee churn using machine learning techniques.

Language: Python - Size: 5.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

Md-Emon-Hasan/Learn-Deep_Learning

A repository containing resources and tutorials for learning deep learning concepts and implementations using Python, TensorFlow, and Keras.

Language: Jupyter Notebook - Size: 312 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

harmanveer-2546/PREDICTING-CUSTOMER-CHURN-FOR-A-TELECOM-COMPANY

Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.

Language: Jupyter Notebook - Size: 235 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Owadd/Customer-Churn-Project

Developed a model to predict customer churn for subscription-based businesses.

Language: Python - Size: 870 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

neemiasbsilva/datascience-portfolio

Hello guys, welcome to my Data Science Portfolio. I include some knowledges I earn in my journey. I included some case study, papers, and code. Please check the readme.

Language: Jupyter Notebook - Size: 53.4 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

scottpitcher/spotify-user-engagement

Develop a system that personalizes music recommendations for users and analyzes their engagement and retention.

Language: Jupyter Notebook - Size: 44.1 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

Megha-pd/Dashboard-and-Presentations

Power BI Dashboards and Power Point Presentations

Size: 28.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ThecoderPinar/telecommunication-customer-churn-analysis-and-prediction

📊 This project focuses on customer churn analysis and prediction in the telecommunications sector. Using data analysis, modeling, and predictive techniques, it aims to understand and mitigate customer loss by developing strategies.

Language: HTML - Size: 2.55 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

roniantoniius/E-Commerce-Customer-Churn-Prediction-Using-Neural-Network

Language: Jupyter Notebook - Size: 2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

gabrielmotablima/DS002--churn-solutions--Telecom

✨ The current project is a basic approach of data analysis and machine learning modeling to get business insights and propose strategies of customer segmentation and churn prediction to mitigate the high churn rate.

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

DataVisualizationExpert/Customer-Churn-Analysis-using-Power-BI

Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️

Size: 1.54 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

anyantudre/Binary-Classification-with-a-Bank-Churn-Dataset

For this Episode of the Series, our task is to predict whether a customer continues with their account or closes it (e.g., churns).

Language: Jupyter Notebook - Size: 22.9 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AjNavneet/Feast_FeatureStore_CustomerChurn_Scaling

Feast Feature Store for scaling customer churn model.

Language: Jupyter Notebook - Size: 291 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Gui-Sitton/Churn-FinalProject

predict its customers' churn. If it is discovered that a user is planning to switch operator, the company will offer them promotional codes and special plan options.

Language: Jupyter Notebook - Size: 4.11 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

npagrawal/Churn-Rate-Machine-Learning

How can we anticipate which customers will take their business elsewhere? Finding key predictors of customer churn via machine learning.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Lacerdash/ML-for-Churn-predicting

Language: Jupyter Notebook - Size: 5.38 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

facf00/Credit-Card---Churn-Rate

The credit churn data analysis aims to investigate the factors that contribute to customer attrition in a credit card company. The dataset used in this analysis contains information on customer demographics, credit card usage, and other relevant variables.

Language: HTML - Size: 16.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Arham-12336/feed-forward-neural-network-for-churn-dataset

A vanilla feed forward neural network design to predict a person will churn or not.

Language: Jupyter Notebook - Size: 264 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

marvin-rubia/Customer-Churning-Analysis-and-Prediction

This repository analyzes customer churning data for a Telco company and develops a predictive model that can classify whether a customer will probably churn or not.

Language: Jupyter Notebook - Size: 3.46 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

alliajagbe/churn-prediction

supervised machine learning model to predict customer churn rate with an accuracy score of 75%.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Shuvo-saha/Retail-Analytics-Showcase

Language: Jupyter Notebook - Size: 154 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

vandittalwadia/Integrated-Bank-Customer-and-Credit-Card-Holder-Churn-No-Churn-Analysis-System-

Final year project: Dataset gathered, cleaned, and customer classified. Administrator registers, logs in with credentials and OTP, enters customer details to evaluate churn status. Churn Reports can be downloaded, and Tableau provides interactive visualizations for feature correlation. For more details please find the Research Paper link in readme.

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

wghong02/Bank-Customer-Churn-Prediction

Use Supervised Learning to Predict Bank Customer Churn Rate

Language: Jupyter Notebook - Size: 517 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

calmk/Customer-Retention-PWC-Virtual-Case-Experience

PWC Virtual Case Experience Program

Language: Jupyter Notebook - Size: 756 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Arham-12336/CNN-on-churn-dataset Fork of usmanyousuf98/Deep-Learning-projects

Simple project using CNN to identifies the customer churn prediction on the publicly available dataset

Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

yacine-ammi/Mobile-CCP

This repository is created to share the steps that were taken in making my Graduation Thesis for my Applied Statistics Diploma, the project is about creating a machine learning model to predict the churn in a telecom company, this repository includes: The dataset used in the project, the relevant code, and the theisis in pdf.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

dhruvilgajaria/Telecom-Customer-Churn-Prediction

This project demonstrates the use of an artificial neural network to predict customer churn in a telecom company's customer base.

Language: Jupyter Notebook - Size: 146 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

DavidNart90/Customer-Churn-Prediction-Bank

This Project is a research on Churn Prediction Analysis. It contains a detailed Jupyter Notebook on a Bank's Churn Model. It is advantageous for banks to know what leads a client towards the decision to leave the company.

Language: Jupyter Notebook - Size: 613 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

MuhammadTayyab-SE/employee-churn-prediction

An AI based technique to determine which employee going to leave or stay in the company.

Language: Jupyter Notebook - Size: 164 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

agusabdulrahman/customer-churn-prediction

Customer Churn Prediction with Machine Learning

Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

eduardochaves1/churn-prediction

This was my first Data Science project where I could learn a lot of this amazing tech & statistical field!

Language: Jupyter Notebook - Size: 8.31 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

GaneshJainarain/TelcoCustomerChurn_AutoAI_ML

Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs

Size: 4.91 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mxagar/churn_model_monitoring

A dynamic risk assessment system in which a customer churn model is monitored after deployment.

Language: Python - Size: 456 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

olgashipkova/Churn-forecast

Данный проект выполнен в процессе обучения в Яндекс Практикум по программе Специалист Data Science +. Проект посвящен прогнозированию оттока клиентов банка на основе исторических данных.

Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

alessiococchieri/BDA-project-sparkify

This Git repo showcases my analysis of Sparkify dataset with PySpark on Apache Spark cluster mode and JupyterLab on Docker. The goal was to identify at-risk customers and develop retention strategies. The analysis tested multiple machine learning models and uncovered insights into customer behavior and churn patterns.

Language: Jupyter Notebook - Size: 4.11 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

ortizfram/churn-prediction2

telco dataset 85% precision, 81% accuracy

Language: Jupyter Notebook - Size: 6.03 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mkgs210/client_churn_prediction

Language: Jupyter Notebook - Size: 750 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

jimschacko/Churn-Modelling-using-XGBoost

Churn Modelling using XGBoost

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

KOdoi-OJ/Customer_Churn_Prediction_App_-_Gradio

A churn prediction app built with Gradio and wrapped around a machine learning model

Language: Python - Size: 1.71 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

LaurentVeyssier/Dynamic_risk_assessment_system

Project #4 from Udacity's ML DevOps engineer Nanodegree

Language: Jupyter Notebook - Size: 283 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

slitayem/churn_prediction_sparkify_dsnd

Churn prediction for sparkify music streaming service

Language: HTML - Size: 11.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ankitaggarwal64/Customer-Churn-Prediction-for-Digital-Music-Service

Predict Churn Prediction from users' activity logs data with the digital music service company (Sparkify)

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

Luissalazarsalinas/Churn-detection

Telco Customer Churn Detection App build with XGBoost, FastAPI, Docker and Streamlit

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

PedramPeiro/Customer-Health-Score-Prediction

This project was done for Didar CRM, a leading company in CRM in Iran. In this project the aim was to assign Health Score to each customer in order to recognize ill customers and decrease churn rate.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

fikahusnaamalinamubarok/Telcho-Churn-

This repository aims to find out whether or not customers who churn from telecommunication companies. And looking for modeling solutions to get predictions of future churn.

Language: Jupyter Notebook - Size: 828 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Anis-Bouaziz/Customer_Churn

Using machine learning to predict whether or not a customer leaves his phone service provider

Language: Jupyter Notebook - Size: 6.92 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2

SilasPenda/Telecom-Customer-Churn-Prediction

This is a supervised machine learning project using telecom customer data to predict customers that would churn based on customer Age Group, Relationship Status, Subscribed Services, Charges, and Financial Responsibilities, etc.

Language: Jupyter Notebook - Size: 271 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

jackson-simionato/challenge_alura_DS01

Challenge Data-Science 1ª Edição

Language: Jupyter Notebook - Size: 7.72 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

camilamaestrelli/Employee-Churn-Classification-Competition

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Hami0095/AI

AI + Machine Learning + Deep Learning + Neural Networks = Self-Learning Adventure

Language: Python - Size: 331 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

LeventSoykan/Churn_Prediction

churn prediction using machine learning classification models

Language: Jupyter Notebook - Size: 566 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

sai-123-code/JOBATHON_MAR2022

Churn predictions

Language: Jupyter Notebook - Size: 349 KB - Last synced at: 6 days ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

apollo-robin/customer-churn

Predict Customer Churn

Language: HTML - Size: 30.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

DataRohit/Churn-Prediction-For-Bank

This Dataset has various information about customers of Bank. The Problem is that many customers tend to leave the bank so using the features give we have to predict whether a customer will leave the Bank or Not.

Language: Jupyter Notebook - Size: 965 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

trangq/BCGvirtualinternsihp

Badge of completion for the Open-Access Data Science & Advanced Analytics Virtual Experience Program

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Faisal-AlDhuwayhi/Sparkify-Project

A Capstone Project implementing Big Data concepts using Apache Spark

Language: Jupyter Notebook - Size: 168 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

copev313/Predicting-Customer-Churn-With-Logistic-Regression

We utilize customer account data to visualize churn rate based on various factors. Additionally, we predict customer churn using a logistic regression model provided by scikit-learn.

Language: Jupyter Notebook - Size: 259 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 2

Ksyula/churn_prediction

Prediction of customer churn with TensorFlow & Keras

Language: Jupyter Notebook - Size: 18.9 MB - Last synced at: 8 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

shwetamustare/Churn-Rate-Prediction-with-Artificial-Neural-Network

Predicting the customers leave/stay event with Artificial Neural Network, on bank customer data.

Language: Jupyter Notebook - Size: 303 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

saurabh48782/Customer_Attrition_Prediction

The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.

Language: HTML - Size: 44.1 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

PeerChristensen/modelimpact

An R package for calculating the business value of using predictions from a churn model.

Language: R - Size: 257 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

YanayZur/ML-Gym-Clients-Churn-Prediction

Understand the customers churn & clustering it to a few clusters.

Language: Jupyter Notebook - Size: 465 KB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

jsroa15/KKBOX

Churn prediction on KKBOX Kaggle competition.

Language: Jupyter Notebook - Size: 3.59 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

peterjprudhomme/Client-Churn-Predictor

This repo contains a model to classify whether or not a client at a bank was likely to close their account based on a client database. It includes a Streamlit app to facilitate easy upload and modeling on new data.

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

DanielDaCosta/Employee-Churn-Predictive-Model Fork of hamzaben86/Employee-Churn-Predictive-Model

Predicting Employee Churn with Supervised Machine Learning

Size: 3.83 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

mmaghajani/churn-prediction

This project is about customer churn prediction

Language: Jupyter Notebook - Size: 938 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

HassaanSaleem/CustomerChurn

Language: HTML - Size: 1.67 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

bharatc9530/Churn-Prediction

Telecom Churn Prediction using Machine Learning models

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 3

Manash-git/Customer-Churn-Prediction-using-Logistics-Regression

Language: Jupyter Notebook - Size: 199 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

satish-rawat/Logistic_Regression

Telecom Churn prediction Using Logistic Regression and Random Forest in R

Language: R - Size: 2.9 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

dixitamol/studentRetention_predictiveModel

Project to predict retention of students in a study program up-to and beyond semester 6 based on scores, socio-economic & demography factors (like debt, gender, religion and race), transferred credits, family fee contributions, academic background, phone and email habits.

Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

vinaykumar7686/Churn-Prediction

A Predictive Model that aims to predict how likely a customer is to churn.

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

rbhatia46/end-to-end-pyspark

And end-to-end Machine Learning pipeline with PySpark-ML for the famous Telco Customer Churn dataset

Language: Jupyter Notebook - Size: 249 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 2

ps1899/Customer-Churn-Prediction-System

3 ML models used.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

codingqi/Churn-Prediction

SQL and python codes for a churn prediction project starting from scratch.

Language: Jupyter Notebook - Size: 311 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

RaffaeleAns/Digital-Marketing-Analysis

A data-driven communication strategy with Email Engagement Model, Cluster Analysis and Churn Prediction

Language: R - Size: 4.32 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 4

dieudo/Bank_churn_Deep_learning

A simple deep neural network using python's deep learning package Keras to predict if a customer with specific characteristics will churn as a client using an artificial neural network

Language: Jupyter Notebook - Size: 299 KB - Last synced at: 7 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

alazark777/Sparkify-Capstone-Project

Determine customer churn for a music streaming company

Language: Jupyter Notebook - Size: 90.8 KB - Last synced at: 7 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

Lal4Tech/Churn-Prediction

Different methods for churn prediction

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

hasitha087/sparkChurnPrediction

This is spark/Scala based Mobile Telecommunication Customer Churn Prediction model developed using Random Forest algorithm

Language: XSLT - Size: 371 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

vinayak1998/Bank-Customer-Churn-Prediction

Predicting Customer Churn in a Bank using ANNs

Language: Python - Size: 259 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

divyanshu132/Bank-Customer-Churn-Prediction

Language: Python - Size: 297 KB - Last synced at: 11 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 2

mohan-aditya05/churn_modelling

Case Study for Churn Modelling in a NGO

Language: Jupyter Notebook - Size: 8.91 MB - Last synced at: 10 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

Hippaho/Sparkify

A music streaming company, Sparkify, has decided that it is time to introduce more automation and monitoring to their data warehouse ETL pipelines and come to the conclusion that the best tool to achieve this is Apache Airflow.

Language: Python - Size: 17.6 KB - Last synced at: about 16 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

LouaiMuhammed/telecom-churn-prediction

End-to-end telecom customer churn analysis and prediction project, involving data cleaning, exploratory data analysis, and machine learning model development. This project was developed as part of the DEPI Internship.

Language: Jupyter Notebook - Size: 9.7 MB - Last synced at: about 23 hours ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

alex123m2r/customer-churn-dashboard

A snappy Flask dashboard to predict customer churn, save revenue, and sass you with an AI chatbot. Keep customers from ghosting! 📊🤖

Language: Python - Size: 289 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

gattsu001/Telecom-Churn-Predictor

Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

Language: Python - Size: 191 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

anonymo2239/Big-Data-Churn-Analyzer

Scalable customer churn prediction using PySpark. Includes EDA, feature engineering, modeling, and real-time inference on new data.

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Yasouimo/Data_Mining_Project_Market_and_Customer_Analysis_Telco_Customer_Churn

Data Mining Project for Customer Analysis and Churn Prediction

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 257 python 132 data-science 120 churn-analysis 70 logistic-regression 69 classification 53 random-forest 44 churn 39 data-analysis 38 xgboost 38 scikit-learn 35 data-visualization 33 deep-learning 32 machine-learning-algorithms 32 jupyter-notebook 31 eda 28 pandas 27 exploratory-data-analysis 25 python3 25 predictive-modeling 23 keras 23 streamlit 22 feature-engineering 22 pyspark 21 churn-modelling 20 random-forest-classifier 20 artificial-neural-networks 18 tensorflow 18 customer-churn-prediction 17 supervised-learning 17 telecom 17 seaborn 15 churn-user-prediction 15 neural-network 15 ann 15 numpy 14 r 14 classification-algorithm 13 neural-networks 13 sklearn 13 classification-model 12 decision-trees 12 customer 12 matplotlib 12 prediction 11 powerbi 11 customer-churn 11 decision-tree-classifier 11 xgboost-classifier 11 spark 10 mlflow 10 customer-segmentation 10 kaggle 10 clustering 10 mlops 10 deployment 9 data 9 churn-analytics 9 customer-retention 9 sql 9 predictive-analytics 8 visualization 8 customer-churn-analysis 8 gradient-boosting 8 data-preprocessing 8 ml 8 confusion-matrix 8 imbalanced-data 8 datascience 8 streamlit-webapp 7 analytics 7 cross-validation 7 gridsearchcv 7 rfm-analysis 7 feature-importance 7 smote 7 machinelearning 7 svm-classifier 7 ai 7 flask 7 big-data 7 catboost 7 shap 6 telecommunications 6 pipeline 6 plotly 6 feature-selection 6 forecasting 6 binary-classification 6 keras-tensorflow 6 ensemble-learning 6 customer-analytics 6 fastapi 6 docker 6 adaboost 6 lightgbm 6 project 6 regression 6 marketing 5 dashboard 5