customer-churn | Topic | Ecosyste.ms: Repos

Topic: "customer-churn"

sondosaabed/Customer-Churn-Dataset-Analysis

Machine Learning, EDA, Classification tasks, Regression tasks for customer churn

Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 0

Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis

Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

souvikg544/CustoPlus

Analyze your customer database with ease

Language: Python - Size: 511 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 1

End-to-End Machine Learning application to predict the customer churn. machine learning is applied to foresee if customers are likely to leave a service. 🤖💼 This involves analyzing customer data, training a model, and predicting churn probabilities. 🚀📊

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

GaneshKotaSLU/Customer-Churn-Prediction

The core purpose of this study is to find the impact of Sentiment Analysis in predicting customer churn for the e-commerce industry by employing different predictive models. Furthermore, the study is also focused on observing which model is best in a more accurate prediction for determining the churn rate of customers.

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

grknc/Customer-Churn-Analyzer-with-ML

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Scholarchep/Syriatel-customer-churn

Churn prediction has become a very important part of Syriatel's company strategy. This project uses machine learning algorithms to build a model that can accurately predicts customers who are likely to churn.

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

sharmi1206/telecom-customer-segmentation

Telecom Customer segmentation and Churn Prediction

Language: Jupyter Notebook - Size: 31 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 3

LeondraJames/Customer-Churn-w-Logistic-Regression

Utilizing tools such as Spark, Python (PySpark), SQL, and Databricks, performed logistic regression on customers to predict those at a higher risk of churning, then applied the model to an unseen "new customers" data set.

Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

Rinkyshu200/customer-churn-dashboard

🔮 A Streamlit-based web app for predicting customer churn using a Decision Tree Classifier. 📁 Supports individual and batch predictions with CSV uploads. 📊 Includes SHAP-based model explainability and interactive Plotly visualizations. ⚙️ Built with Python, scikit-learn, pandas, and Streamlit. 📦 Fully local, lightweight, and easy to deploy.

Language: Python - Size: 36.1 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

alfa7g7/fuga-clientes-bc-v2-ghost-v

Proyecto de Ciencia de Datos para predecir la fuga de clientes. Implementa un enfoque avanzado con Variables Fantasma (Ghost Variables) para la selección de características y un modelo Random Forest para la clasificación.

Language: Jupyter Notebook - Size: 44.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/ML-Projects-Telcom-Customer-Churn-Prediction

📱 Customers are likely to leave a telecom service, enabling companies to take measures for retention and create accurate churn prediction models.

Language: Jupyter Notebook - Size: 16 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Jayita11/ANN-Classification-Customer-Churn-Prediction

The project predicts bank customer churn using an Artificial Neural Network (ANN). It includes data preprocessing, model training with TensorFlow and Keras, and deployment via a Streamlit app. The model's performance is visualized using TensorBoard, showcasing effective machine learning techniques for customer retention.

Language: Jupyter Notebook - Size: 647 KB - Last synced at: 4 months ago - Pushed at: 12 months 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

TrungKhoaLe/telco-customer-churn

Customer churn prediction with gradient boosted trees

Language: Jupyter Notebook - Size: 387 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

davidokenwa/Analysis_of_Maven_Churn_Q2-2022

In this BI consultancy project, I advised the CMO of Maven Communications on how to reduce customer churn, using data.

Size: 5.73 MB - Last synced at: over 2 years ago - Pushed at: about 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

marinafajardo/prevendo-customer-churn

Prevendo Customer Churn em Operadoras de Telecom

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Zubair-hussain/Zubair-hussain-Machine-learning-pipeline

this project focuses on predicting telecom customer churn using supervised machine learning models. by analyzing historical data such as contract type, internet service usage, and billing method, we aim to identify customers who are at risk of leaving the company.

Language: Jupyter Notebook - Size: 257 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

sushma-prog/Advanced-ML

A 7-day hands-on journey into advanced ML techniques including XGBoost, LightGBM, SHAP, LIME, GridSearchCV, and API integration.

Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

sushma-prog/customer-churn-prediction

End-to-end machine learning project to predict telecom customer churn.

Language: Jupyter Notebook - Size: 881 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Oduks/Customer-Churn-Prediction-Using-Dceisioon-Tree

In my first model, I am using Desicion Tree to predict customer churn. I achieved 99% accuracy which suggests overfitting and this is probably as a result of the cleaned data that was used

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Julie-Fliorko/customer-churn-analysis

End-to-end customer churn data cleaning, exploration, and visualization in Python using Jupyter notebooks.

Size: 5.15 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Naidu-DS-2026/Customer-Churn-Prediction-ML

Predicting customer churn using classification models, feature engineering, and evaluation metrics

Language: Jupyter Notebook - Size: 266 KB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

polojusriman/Telecom-churn-analysis

Customer churn prediction using Python, Machine learning, and Data visualization.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

ShrutikSai/Predicting-Customer-Churn-for-a-Telecom-Company

An end-to-end real-world ML project to predict customer churn using EDA, Feature Engineering, XGBoost, SHAP, and Business Insights. Includes data aggregation, ETL, NLP, and model deployment-ready outputs.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

diyapatel07/customer-churn-analysis

Customer churn dashboard using Python & Power BI

Language: Jupyter Notebook - Size: 934 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sarojinisharon/Customer-Churn-Analysis-with-Power-BI-

This project explores customer churn patterns for a fictional telecom company, Databel. Using Power BI, the dashboard uncovers key insights from customer demographics, contract types, service usage, and payment details. The goal is to support business decision-making by identifying which customer segments are most likely to leave and why.

Size: 692 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

taqi-jpg/customer-churn-dashboard

📉 Interactive Streamlit dashboard to visualize and predict customer churn using Telco dataset. Built with Python.

Language: Python - Size: 354 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

AdibahR/Indohome-telco-churn-app

IndoHome Telco Churn Prediction System - Comprehensive ML project with Streamlit deployment, Tableau analytics, and end-to-end data science pipeline for telecommunications customer retention

Language: Python - Size: 140 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

hareeson/customer_churn_prediction_for_E-commerce

This repository contains a machine learning project focused on predicting customer churn for e-commerce platforms. It features data preprocessing, model training, and an interactive web app built with Streamlit. 🛒💻

Language: Jupyter Notebook - Size: 58.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

abilli0/Telco-Customer-Churn-Project

Data analysis of Telco customer churn using Python, SQL, and visualization tools.

Language: Jupyter Notebook - Size: 410 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

dhanraj-parigi/customer_churn_prediction_for_E-commerce

🔍 Predict customer churn for an e-commerce platform using Logistic Regression and Decision Tree models. Built with Python, Streamlit, and ML tools for real-time insights.

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

SuryaVamsi-P/Customer-Churn-Prediction-using-R-and-ML-Models

Predicts customer churn using ML models (Decision Tree, Random Forest, Logistic Regression, SVM, KNN, XGBoost) in R, with powerful data visualizations to uncover retention patterns and drive actionable insights in customer lifecycle analysis.

Language: R - Size: 19.5 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

busradeveci/telco-churn-ml

Predicting and analyzing customer churn in telecom using machine learning.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

krauseannelize/da-db-customer-churn

Interactive Excel dashboard analyzing customer churn for Databel

Size: 27.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Manuel12251990/Telecom-Churn

SQL Project showcasing customer segmentation and churn risk analysis for telecom data using CTEs, window functions, and ranking.

Size: 30.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Moez-lab/CustomerChurn_Prediction

📊 A machine learning project to predict customer churn using classification models like Random Forest, Decision Tree, and XGBoost. Includes data preprocessing, SMOTE for class balancing, hyperparameter tuning, and model deployment using pickle.

Language: Jupyter Notebook - Size: 408 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

vijaykumar1799/Customer-Churn-Prediction-Retention-Strategy

Practical customer churn analysis and prediction using Python, XGBoost, and real-world business insights.

Language: Jupyter Notebook - Size: 2.62 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nurulashraf/telco-customer-churn-prediction-model

This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to predict customer churn. Key tools used are Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.

Language: Jupyter Notebook - Size: 539 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

l1ght14/customer-churn-prediction

Predict customer churn using machine learning models like Logistic Regression and Random Forest. Includes data preprocessing, model evaluation, feature importance, and insights to drive retention strategies.

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Sabdikay/Telco-Customer-Churn-Analysis-IBM-Dataset

This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. Through statistical tests and interactive maps, it uncovers key drivers behind customer cancellations

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Garimarao24/Customer-churn-project

This repository contains a Customer Churn Prediction project that leverages Machine Learning techniques to predict customer churn and segment customers using clustering.

Language: Jupyter Notebook - Size: 270 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ammar-qazi/bank-churn-analysis

A data science project analyzing bank customer churn patterns using machine learning techniques. Features EDA, predictive modeling, and actionable insights using Python.

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

shreyaschimote/Proj_Customer_Churn

Size: 136 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

MissK143/Telco-Churn-Corr

The goal of correlationfunnel is to speed up Exploratory Data Analysis (EDA). Exploring Telco CustomerChurn Dataset

Language: R - Size: 4.55 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

PritamDeb68/customer-churn

An end-to-end machine learning project predicting bank customer churn with a Gradient Boosting Classifier. It features a complete pipeline for data processing, model training, and real-time predictions via a Flask API. SMOTE is used for handling imbalanced data, and MLflow is integrated for model tracking.

Language: Jupyter Notebook - Size: 38.5 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

sudarshan710/customerChurnAutomation

Automated Churn Prediction using Classifier Model and deploy as a Streamlit Web Application

Language: Jupyter Notebook - Size: 8.99 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

QuantaScriptor/AI-Enhanced-Customer-Retention-System-AIECRS

AI-Enhanced Customer Retention System (AIECRS) is an AI-based system designed to predict customer churn and suggest retention strategies.

Language: Python - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

itsmarmot/customerChurn

We going to build a basic model for predicting customer churn using Telco Customer Churn dataset. We're using some classification algorithm to model customers who have left, using Python tools such as pandas for data manipulation and matplotlib for visualizations.

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

brenden-DS/Customer-Churn-Analysis

Language: Jupyter Notebook - Size: 620 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mxagar/sparkify_customer_churn

This project analyzes and predicts customer churn of a music streaming service using Spark on a large dataset.

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

eiliaJafari/tree-based-customer-churn-rate

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

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

faisalghifari17/customer-churn-prediction

Analyzing customer data and building machine learning model for predicting customer churn (Logistic Regression, Random Forest and XGBoost). This project is presented as final project for dibimbing's data science bootcamp batch 22 and getting 2nd best final project award in the graduation.

Language: Jupyter Notebook - Size: 8.86 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Topic: "customer-churn"

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