fjk1533/smurphcast

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

Language: Python - Size: 69.3 KB - Last synced at: 26 minutes ago - Pushed at: about 1 hour ago - Stars: 1 - Forks: 0

deepak1400/Tele_Customer_Churn-

Comprehensive Telecom Customer Churn Analysis using SQL and Python . This project focuses on data cleaning , transformation , and visualization to uncover key insights into customer behaviour , churn pattern , and retention strategies. It include EDA, feature engineering , and predictive modelling to help telecom companies reduce churn

Language: Jupyter Notebook - Size: 882 KB - Last synced at: about 19 hours ago - Pushed at: about 20 hours ago - Stars: 0 - Forks: 0

Cyberoctane29/Deutsche-Bank-Customer-Churn-Prediction-End-to-End-Analysis-and-Modeling

This project predicts customer churn for Deutsche Bank using supervised machine learning. It involves data exploration, feature engineering, and building Naive Bayes, Decision Tree, Random Forest, and XGBoost models. Models are tuned, evaluated, and compared to identify the best approach for churn prediction.

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Keerthi-muppulakunta/Telecom-customer-churn-analysis

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

Size: 1.53 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

ghoumbadji/Analyzing_Customer_Churn_for_a_Telecom_Company

The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.

Language: Jupyter Notebook - Size: 693 KB - Last synced at: about 2 hours ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Halsted312/smurphcast

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

Language: Python - Size: 85 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

Agungvpzz/Telco-Churn-Analysis

Identified patterns and reasons behind customer attrition.

Language: Jupyter Notebook - Size: 8.22 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

Demibolt007/MTN-Nigeria-Customer-Churn-Intelligence-Report-Q1-2025

A data-driven analysis of MTN Nigeria’s customer churn in Q1 2025 — uncovering churn patterns, top reasons for exit, and actionable retention strategies using a custom-built dataset.

Size: 2.32 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

MasterMindRomii/Customer-Churn-Prediction-Final-Year-Project

Built an ML model to predict customer churn, enhancing retention strategies.

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

DivitMittal/Blinkit-Churn-Analysis

Analyzing customer attrition & strategies to reduce churn via AutoML techniques & PowerBI

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

TatevKaren/artificial-neural-network-business_case_study

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

Language: Python - Size: 6.5 MB - Last synced at: 14 days ago - Pushed at: about 4 years ago - Stars: 49 - Forks: 23

paulo-santos-ds/churn

Este projeto tem como objetivo desenvolver um modelo capaz de prever se um cliente está prestes a deixar um banco fictício. Para isso, são analisados dados sobre o comportamento passado dos clientes e rescisões de contratos com o banco

Language: Jupyter Notebook - Size: 429 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

ludreinsalvador/churn-prediction

This aims to predict customer churn based on the lack of transactions over the past 3 months. It uses behavioral features such as member_id, quantity, transaction_date, and category_name to identify customers who are at risk of churning. It focuses on transaction behavior prior to churn to create accurate predictions.

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

yeopster/churn-prediction-GCP

Churn Prediction Machine Learning Using Google Cloud Platform

Language: Jupyter Notebook - Size: 126 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

data-edd/customer_churn_analysis

This project uses Power BI Desktop and Excel to help businesses prevent customer loss and improve customer service.

Size: 1.54 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

rizz1406/Customer-Churn-Analysis

Telco Customer Churn Analysis - Data analysis and visualization to identify churn patterns in telecom customers. Includes EDA, feature engineering, and optional machine learning modeling to predict churn and provide business insights.

Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

xuanmaii00/Churn-User-Analysis_PBI

Developed a Power BI dashboard for managers to analyze customer churn patterns, focusing on churn rates, demographics, and transaction history. Formulated strategic recommendations to enhance customer retention efforts.

Size: 1.48 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Chiagoziemchidera/Churn-Analysis-and-Retention-Strategy-Optimization

This project analyzes customer churn patterns to uncover key risk factors and service adoption trends. It provides data-driven insights and strategic recommendations to improve retention and customer engagement.

Size: 2.69 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

viznuv/Churn-customer-analytics

This repository contains Python code for simulating customer churn and performing various churn analyses, including survival analysis and cohort analysis.

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

tubakrc/Power_BI_Projects_2

This repository was created for my Power BI Project (Olist E-commerce Dashboard).

Language: TSQL - Size: 2.07 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

jaykumarraichura/Telco-Customer-Churn

Customer churn is a critical challenge for the telecommunications industry. It refers to the loss of customers who switch from one telecom operator to another.

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

abrahamkoloboe27/Churn-Prediction-and-Analysis-Project

Application pour analyser et prédire le churn client avec visualisations interactives

Language: Python - Size: 3.99 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 2 - Forks: 1

rohitinu6/Telecom-Customer-Churn-Prediction

This project aims to predict customer churn in the telecom industry using machine learning techniques.

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Yash22222/Predicting-Customer-Churn-for-Subscription-Based-Services

A Flask-based web app that predicts customer churn using ML models and suggests retention strategies.

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AviralTechie/Customer_Churn

The goal is to analyze customer churn based on factors such as demographics, credit score, financial activity, and account characteristics. The objective is to identify trends, key predictors of churn, and provide actionable insights to reduce churn rates.

Size: 609 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

oktaviorezap/final-task-pbi-dataengineer-oktaviorezaputra

The bank is facing increasing customer churn in its credit card services, affecting revenue and reputation. This project aims to analyze customer data to identify at-risk clients and reduce churn through targeted retention strategies.

Language: Jupyter Notebook - Size: 6.39 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

akarshankapoor7/End-to-End-Churn-Analysis-Project-My-SQL-Power-BI-ML-

This project analyzes telecom customer churn using an ETL pipeline in SQL Server, Power BI dashboards, and a Random Forest model in Python. It identifies at-risk customers and key churn drivers. Insights enable targeted retention strategies.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

mohanasundaramm1/Customer-Churn-Analysis-

Analyzing Customer Churn Data in Telecom Industry using Power BI

Size: 1.19 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AsadAhmed29/Customer-Churn-Analysis

In this project, I have designed a Power BI dashboard that provides a detailed analysis of customer churn, enabling stakeholders to identify trends and make data-driven decisions to reduce churn and improve customer retention.

Size: 1.19 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

BhavyaBhargava/US_Telco_Churn_Analysis_and_Prediction

Prediction and Analysis of Customer Churn for a US Telecom Company

Language: TSQL - Size: 7.89 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

brenden-DS/Bank-Churn-Dashboard

Size: 1.95 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ParthDS02/Customer-Churn-Prediction-with-Streamlit

Customer churn prediction is a vital tool for businesses to identify customers likely to leave their service. In this project, I build a machine learning pipeline to predict customer churn, integrating data analysis, feature engineering, modeling, and Demonstrate as a Streamlit web application.

Language: Jupyter Notebook - Size: 104 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

khangtran85/Churn-Analysis-with-Supervised-and-Unsupervised-Learning

This project analyzes churned user behavior, provides actionable recommendations to reduce churn, builds a fine-tuned machine learning model for churn prediction, and segments users into groups based on behavior. Insights are used to design targeted promotions for each group.

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

tnleite/blue-bank-customer-churn-eda

Repositório do projeto de EDA focado no churn de clientes do Blue Bank. Utiliza Python e Jupyter para analisar dados e identificar fatores que influenciam o churn. Inclui insights acionáveis e recomendações estratégicas.

Language: Jupyter Notebook - Size: 22.5 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 2

Rlvtick/Churn-Analysis-Simulation

Churn Analysis - Data Science Job Simulation

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Data-Portofolio/churn-customer-analysis

An analysis of customer churn at Databel, a telecommunications company in the U.S. By leveraging this analysis, the goal is to develop retention strategies to help reduce the company's churn rate.

Size: 54.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

mhadeli/Customer-Churn-Analysis

Customer Churn Analysis with SQL and Tableau

Size: 1.5 MB - Last synced at: 6 months ago - Pushed at: 6 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: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

clorischen-mz/Customer-Churn-Analysis-for-TeleBoiler

Analyzed the top reasons and characteristics of churners and recommended potential actions to be taken to retain customers

Size: 2.35 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - 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: 8 months ago - Stars: 1 - Forks: 0

Anotherafael/BankCustomerChurnPrediction

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

gabi-pacheco/HomeSwap-Customer-Churn

This repository contains the final project of a 400-hour Data Analytics bootcamp at Le Wagon. The project focuses on analyzing subscriber churn for HomeSwap, a platform where members exchange homes for travel. The goal is to identify churn factors and provide actionable insights through a business intelligence dashboard.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

PrakharGupta07/Excitel_Customer_Acquisition

The analysis identifies key bottlenecks, variability in processes, and provides actionable recommendations to optimize operations.

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Excovatedmind/Oemoem-DSAI-Hands-On

Churn Analysis Hands On Project

Language: Jupyter Notebook - Size: 619 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

dmytrovoytko/MLOps-churn-prediction

MLOps project Training and Deployment of Churn prediction model

Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

mohammad95labbaf/Churn-Prediction

This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.

Language: Python - Size: 373 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Shaghayegh-Aflatounian/Churn-Prediction

Churn prediction aims to identify customers who are likely to cancel/switch their accounts based on their characteristics and behavior patterns. This helps banks prioritize retention efforts.

Language: Jupyter Notebook - Size: 336 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Harshit-Sinha-49/Customer-Churn-Analysis

Customer Churn Analysis in Telecom Industry

Language: Jupyter Notebook - Size: 4.3 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

riki-999/PowerCo-Churn-Analysis

This Churn Analysis evaluates the financial impact on total revenue by offering controlled discounts to targeted customers for retention.

Language: Jupyter Notebook - Size: 8.82 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Senich17/Customer-Churn-Analysis

Customer Churn Analysis explores factors influencing customer attrition using various data visualizations and statistical tests.

Language: Jupyter Notebook - Size: 696 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

mlcuadra1/Churn-Risk-EDA

I analyzed a dataset of telco customers' activity and how it relates to churn. This repository is designed for data cleaning and exploratory data analysis (EDA), which will be expanded into feature engineering and modelling.

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

AANAND94/PWC-Job-Simulation

PWC Job Simulation

Size: 1.83 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

boboru/customer-churn-analysis-and-prediciton

Customer Churn Analysis (Telco Dataset)

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sanchopedro/interconect-telecom

Este projeto visa prever a rotatividade de clientes da Interconect Telecom para melhorar a retenção. Utilizando dados sobre planos, contratos e serviços, o objetivo é identificar clientes com alta probabilidade de deixar a operadora. O modelo desenvolvido busca oferecer estratégias de retenção eficazes, baseadas em análises preditivas.

Language: Jupyter Notebook - Size: 2.56 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Putriarrum/Analysis-of-the-Factors-Causing-Customer-Churn

This project is my personal project about Customer Churn using dataset from Telecommunication Company provided by Kaggle. I created Data Visualisation with Python to get some insight from the dataset that can used for arrange their next strategic planning.

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Shegszz/Customer-Churn-Analysis

This project aims to analyze customer churn data to identify key drivers and suggest actionable strategies to improve retention.

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

amrelauoty/Customer-Retention-PhoneNow

PhoneNow Customer Retention Analysis - PwC Switzerland virtual case experience

Size: 10.5 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

alatiku/ChurnAnalysis

Analyze IBM Telco Customer data to offer valuable insights for data-driven decision-making on customer retention to reduce churn

Language: R - Size: 5.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

thanhhuyentran32/HR-Analytics-Case-Study

The analysis delves into the factors that have the biggest impact on employee churn and need to be addressed immediately. It then suggests several changes the XYZ company should make in the workplace to retain more employees.

Size: 16 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

datalopes1/bankabc_churn

Neste projeto será realizado o processo de EDA (Exploratory Data Analysis) com foco na análise de Churn a partir do datas ser Bank Customer Churn Dataset, que pode ser encontrado no Kaggle e disponibilizado por Gaurav Topre.

Language: Jupyter Notebook - Size: 7.77 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

doruq-IT/Customer_Churn_Analysis_Feature_Engineering

This project develops a machine learning model to predict customer churn for a California-based telecom company using data from 7043 customers. Our goal is to enhance customer retention strategies through detailed data analysis and feature engineering.

Language: Jupyter Notebook - Size: 256 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

eligiomorales/Customer-Churn-Analysis-Tableau

This repository contains the analysis and visualizations I have created in Tableau. As part of the Career Track "Data Analyst in Tableau" available on DataCamp (https://www.datacamp.com/tracks/data-analyst-in-tableau)

Size: 720 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jacquesbilombe/CRM-Customer-Churn-Score

Churn score analysis predicts customer attrition likelihood by analyzing historical data, enabling proactive retention strategies. Machine learning algorithms are often utilized to develop precise churn prediction models, aiding in customer retention efforts.

Language: Jupyter Notebook - Size: 6.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

breathingcyborg/b2b-sales-analysis

Language: Jupyter Notebook - Size: 945 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ushashwat/Customer-Churn-Analysis

Customer churn rate analysis and prediction

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Foroughmo/Telco-Customer-Churn

Focused customer retention programs

Language: HTML - Size: 1.91 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Younes-Piro/churn_detection

Utilizing machine learning tools to forecast customer churn. Explore visualizations highlighting unique profiles of churning and non churn customers, providing valuable insights for retention strategies.

Language: Jupyter Notebook - Size: 6.79 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yakhlebopros/ChurnDataVisualisation

visualisation of churn data of a bank

Language: Jupyter Notebook - Size: 31.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - 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: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - 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

galax19ksh/Customer-churn-analysis

using Power BI and python libraries

Language: Jupyter Notebook - Size: 7.22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kazuekudo1222/telecom-churn-prediction

A data analysis project with customers' data of a telecom company.

Language: Jupyter Notebook - Size: 3.28 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Kaendor/quality-time

Command line tool to generate actionable metrics for priorizing refactors on your rust project

Language: Rust - Size: 105 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

hossam-elshabory/MS-Power-BI-Projects

This Repository Contains Microsoft Power BI Projects.

Language: Jupyter Notebook - Size: 35.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AnujRameshRindhe/EDA_Telecom_Churn_analysis

Language: Jupyter Notebook - Size: 43 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jpcadena/PrDS_2024__TelcoCustomerChurn Fork of nestormontano/PrDS_2024__TelcoCustomerChurn

Repositorio del proyecto de predicción del problema Telco Customer Churn (kaggle)

Language: Jupyter Notebook - Size: 22.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

aadimangla/Churn-Modelling-for-a-Bank

A churn model is a mathematical representation of how churn impacts your business. Churn calculations are built on existing data (the number of customers who left your service during a given time period). A predictive churn model extrapolates on this data to show future potential churn rates.

Language: Python - Size: 5.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - 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

DataNomadX/Customer-Retention-and-Service-Optimization-

By undertaking this project, the company aims to gain valuable insights into customer behavior, enhance service quality, and implement targeted strategies for customer retention and satisfaction. The findings will contribute to informed decision-making and the development of customer-centric business strategies.

Size: 998 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

TarikKaanKoc/MonoChurnAnalyzer

Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 0

Aditprmn/Final_Project_ChurnAnalysis

Tingginya persaingan dibidang E-Commerce membuat semua perusahaan memerhatikan bagaimana bisa mempertahankan pelanggan agar selalu membeli di perusahaan tersebut. Pada laman ini mencoba menjelaskan mulai dari permasahan yang ada pada dataset, tujuannya, dan rekomendasi yang diberikan

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

02-stutigupta/SpeakX-Data-Science-Assignment

Churn Analysis using various ML Models

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - 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

jlgarciatucci/Churn-rate-visualizations-in-Python

Churn rate visualizations in Python

Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: over 1 year ago - Pushed at: about 3 years 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

avijay24/Customer-Churn-Predictions-Using-Classification-Analysis

Customer Churn Predictions Using Classification Analysis

Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shubhamkushwah2509/pwc-internship

an internship where i use different data set and analyse call centre trend , churn analysis and diversity inclusion analysis

Size: 2.15 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SadeTosin/Connecttel-Customer-Churn-Prediction

This project promises to predict and prevent customer attrition, ensuring long-term loyalty and competitiveness, by leveraging supervised machine learning algorithms.

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Laetitia-Deken/Churn_Telecom

Training Quest Business Case Wild Code School

Language: Jupyter Notebook - Size: 2.91 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

norbertolimonjr/Supervised-Learning-Churn-Analysis

Logistic Regression and Naive Bayes: Supervised Learning for Customer Churn Analysis on a dataset of an anonymous telecommunications company

Language: Jupyter Notebook - Size: 933 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

amina-safdar/customer_churn_prediction

Predicting churn among Manning Publication's liveBook customers.

Language: Python - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

aimee0317/gym_customer_churn_analysis

This project is to conduct churn analysis of a fictitious gym called Model Fitness.

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Sid-Thorat/EDA_Telecom_Churn_Analysis

This projects explores a telecom company dataset. It aims to figure out pain points why users are churning, have to mitigate those issues and try to get back those users.

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Reign2121/Survival-analysis

survival and churn analysis in biz domain

Language: R - Size: 71.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

kinszee/Excel-Churn-Calculation

Leveraging on Excel functions to clean data and pivot tables for dimensioning and analysis, churn was estimated using functions like SUBTOTAL, COUNTIFs, NESTED IFs etc.

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Ola76/bank_churn

Bank Customer Data for Customer Churn

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miraytopal/Bank_Churn_Analysis_with_Spark

Language: Jupyter Notebook - Size: 494 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

TalhaFarook/ChurnRadar

ChurnRadar: Unveiling Customer Churn Patterns with Predictive Insights

Language: Python - Size: 694 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ilanhourchani/Bank-Customer-Churn-Analysis

Try to predict and identify bank customer churn

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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.

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