GitHub topics: churn-analysis
Yasouimo/BCG-Data-Science-Job-Simulation
Analyzed customer churn data using Python (Pandas, NumPy, Matplotlib) and developed an optimized Random Forest model with 85% accuracy. Delivered insights and an executive summary to support business decisions, as part of the BCG Data Science Job Simulation (Feb-Mar 2025).
Language: Jupyter Notebook - Size: 8.18 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
mertafacan/complete-customer-analytics-ecommerce
An end-to-end customer analytics project using the Online Retail II dataset. This work features RFM segmentation, churn prediction with XGBoost, Customer Lifetime Value (CLV) forecasting with BG/NBD & Gamma-Gamma models, and statistical A/B testing.
Language: Jupyter Notebook - Size: 27.1 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
JulianaMancera/Customer-Churn-Analysis-and-Prediction
Data analysis project predicting customer churn using Python and Logistic Regression.
Language: Jupyter Notebook - Size: 273 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
markusndco/Advance-Statistical-Modeling
A curated collection of advanced statistical modeling projects applying techniques such as OLS regression, GLMs, Poisson distribution, survival analysis, multilevel models, and classification algorithms. Each folder contains a real-world case study with end-to-end analysis in R, including business insights, model diagnostics, and interpretation.
Language: R - Size: 8.69 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
olhaaimeunobre/AmazonPrime_Dashboard_Excel
🐙 Dashboard Excel para analizar churn de Amazon Prime; incluye datos crudos, transformados y análisis descriptivo para reducir el abandono.
Language: Jupyter Notebook - Size: 4 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
hurabbas05/AI-Powered-Data-Insights-Internship-Excelerate
Turning chaos into clarity — this 4-week data analyst internship was a deep dive into real-world data, smart insights, and impactful storytelling.
Size: 6.62 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0
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: 15 days ago - Pushed at: 15 days ago - Stars: 2 - Forks: 0
JessiHP/AmazonPrime_Dashboard_Excel
Análisis de la tasa de abandono de clientes de Amazon Prime
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0
DanielFaltynowski/analyzing-customer-churn
Analyzing customer churn in a telecom dataset to identify key drivers, age and usage patterns, and strategies to improve retention, using Excel and Power Query.
Size: 11 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0
ENGFAKAYODE/Music-Streaming-Churn-Analysis
Problem-solving Tableau Dashboard
Size: 129 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0
Asad-In-Data/Customer_Churn_Analysis
Exploratory and visual analysis of customer churn using Python Libraries Pandas, numpy, matplotlib, seaborn includes KPIs, segment trends, and key churn factors.
Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
Umangsinha-21/Netflix_Data-Analysis_Project
This project analyzes Netflix's user behavior, content performance, churn patterns, and regional revenue trends using multiple datasets. I built an interactive Power BI dashboard that provides a multi-page report combining show metadata, global revenue streams, and user churn data to uncover key insights across Netflix’s operations.
Size: 5.32 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ontu001/Telco-Customer-Churn-Analysis---EDA_Python
Exploratory Data Analysis of customer churn patterns in the telecommunications industry
Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Maggy317/Banking-Churn-Model
Banking Churn Dashboard - Risk Segmentation & Retention KPIs using Excel, SQL & Power BI.
Size: 4.99 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Phauthentic/cognitive-code-analysis
A Cognitive Code Complexity Analysis Tool. Cognitive complexity measures how hard it is for a human to understand the code, while cyclomatic complexity measures how hard your code is to test. Understandability is a huge cost factor because ~80% time is spent on reading and understanding code.
Language: PHP - Size: 228 KB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 35 - Forks: 3
Udurume-Righteous/Churn-Analysis-PowerBI
Interactive churn‑analysis dashboard built in Power BI, including DAX measures, model diagram, and insights.
Size: 1.48 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
dpb24/customer-churn
🌐 Predicting Customer Churn with Decision Tree, XGBoost & Neural Network Models on the Cell2Cell Dataset
Language: Jupyter Notebook - Size: 12 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
saisadhasivam/freemium-token-analysis-upwork
A data-driven analysis of freemium token models (e.g., Upwork, Lovable) to evaluate global affordability. Combines pricing data, income stats, and simulated user behavior to uncover fairness gaps and recommend inclusive pricing strategies.
Size: 6.84 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
jahnavigupta06/Zepto-Delivery-Customer-Analytics
Real-time SQL + Power BI Analytics Project replicating Zepto's customer & delivery insights.
Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
RozaAbolghasemi/Churn_Prediction
Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Rashi26Sharma/Customer-Churn-Analysis
A dynamic Power BI dashboard to analyze customer churn patterns, uncover key risk factors, and drive strategic retention efforts in telecom, SaaS, or service-based industries.
Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
grittalikestocode/Customer-Churn-Analysis
This project analyzes customer churn for a media streaming subscription service. The primary goal is to identify key factors driving churn and build a predictive model that can help reduce customer loss.
Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
ARUNAGIRINATHAN-K/Data-Analyst-Project-Portfolio
This repository contains a curated collection of intermediate-level projects showcasing skills in data cleaning, analysis, visualization, and business insights.
Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
pradeepkatikela/churn-prediction
A simple beginner-friendly machine learning-based customer churn prediction project
Language: Jupyter Notebook - Size: 286 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
nehaadahiya/Churn_Analysis
Customer Churn Analysis
Size: 882 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
anna-darda/revenue-metrics-analysis
SQL-based revenue metrics analysis with monthly segmentation, churn tracking, and MRR dynamics visualization. Project includes an interactive dashboard built in Tableau and fully documented SQL logic.
Size: 146 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Gayatri018/matiks-user-insights
This project focuses on analyzing user engagement, churn patterns, and revenue trends for a gaming platform using Power BI. The interactive dashboard tracks DAU/WAU/MAU, highlights behavioral patterns, identifies early signs of churn, and provides insights into high-value and high-retention users.
Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Temela/Banking-Retention-Insights
Insightful analysis of customer churn and retention in the banking sector using Python, Power BI, and data storytelling.
Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Ritikrb126/ChurnLens-Telecom_Customer_Churn_Analysis
"SQL-based analysis of telecom customer churn – uncovering patterns and causes behind user dropout."
Size: 543 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Cyberoctane29/Deutsche-Bank-Customer-Churn-Prediction-End-to-End-Analysis-and-Modeling
In this project, I aim to predict 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: 13.4 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
amiorhmn/Growth-Data-Analysis
Growth Data Analysis of an E-commerce Company
Language: Jupyter Notebook - Size: 540 KB - Last synced at: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
helen-oy/Customer_Lifetime_Value_ML_Model
This is a trained machine learning model deployed on Google Cloud Platform (GCP) for prediction of Customer Lifetime Value and Churn. This model is available for users to predict lifetime value of customers based on data and features such as recency, frequency and monetary/revenue, interact with the application and make informed business decision.
Language: Jupyter Notebook - Size: 7.64 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
novianggita/Hyperparameter-Tuning
This repository contains a notebook that demonstrates how to perform hyperparameter tuning on various classification models using a binary classification dataset. The goal is to evaluate and improve model performance through systematic tuning.
Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
ludreinsalvador/customer-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: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Nikita-Jatariya/Customer_Churn-Analysis
This exploratory data analysis (EDA) investigates patterns and drivers of customer churn in a telecom dataset, focusing on service usage, customer demographics, and billing information. The visual and statistical insights aim to support strategic retention decisions.
Language: Jupyter Notebook - Size: 674 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
shyamal-bhatt/Customer-Churn-Prediction-Retention-Strategy-Using-SQL-Power-BI-Machine-Learning
End-to-end customer churn prediction pipeline using SQL, ML, and Power BI. Trained and tracked multiple models with MLflow, selected LightGBM with 0.90 F1 score on balanced data, and integrated predictions into a Power BI dashboard for actionable insights.
Language: Jupyter Notebook - Size: 3.45 MB - Last synced at: 2 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 8 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: 5 days ago - Pushed at: 5 months 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: 5 months ago - Pushed at: 5 months 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: 5 months ago - Pushed at: 5 months 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: 5 months ago - Pushed at: 5 months 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: 5 months ago - Pushed at: 5 months 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: 4 months ago - Pushed at: over 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: 434 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - 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: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1
yeopster/churn-prediction-GCP
Churn Prediction Machine Learning Using Google Cloud Platform
Language: Jupyter Notebook - Size: 126 KB - Last synced at: 5 months ago - Pushed at: 6 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: 4 days ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
JustSomeGirlWithoutASoul/Bank-Customer-Attrition-Insights
Employed various machine learning algorithms, visualizations, feature engineering, and casual inference to classify and analyze bank customer churn.
Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1
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: 6 months ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 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: 7 months ago - Pushed at: 7 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: 7 months ago - Pushed at: 7 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: 5 months ago - Pushed at: 10 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: 6 months ago - Pushed at: 7 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: 5 months ago - Pushed at: 7 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: 7 months ago - Pushed at: 7 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: 5 months ago - Pushed at: 9 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: 8 months ago - Pushed at: 8 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: 8 months ago - Pushed at: 8 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 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
brenden-DS/Bank-Churn-Dashboard
Size: 1.95 KB - Last synced at: 9 months ago - Pushed at: 9 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: 5 months ago - Pushed at: 9 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: 8 days ago - Pushed at: 9 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: 5 months ago - Pushed at: 6 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: 5 months ago - Pushed at: 9 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: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
mhadeli/Customer-Churn-Analysis
Customer Churn Analysis with SQL and Tableau
Size: 1.5 MB - Last synced at: 10 months ago - Pushed at: 10 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: 7 months ago - Pushed at: 11 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: 11 months ago - Pushed at: 11 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: 6 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
Anotherafael/BankCustomerChurnPrediction
Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 12 months ago - Pushed at: 12 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: 12 months ago - Pushed at: 12 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: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Excovatedmind/Oemoem-DSAI-Hands-On
Churn Analysis Hands On Project
Language: Jupyter Notebook - Size: 619 KB - Last synced at: about 1 year ago - Pushed at: about 1 year 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: 6 months ago - Pushed at: about 1 year 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: 5 months ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
AANAND94/PWC-Job-Simulation
PWC Job Simulation
Size: 1.83 MB - Last synced at: about 1 year ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year 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: about 1 year ago - Pushed at: about 1 year 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: 5 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: over 1 year ago - Pushed at: over 1 year 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: over 1 year ago - Pushed at: over 1 year 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 1 month ago - Pushed at: over 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: over 1 year ago - Pushed at: over 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: over 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
breathingcyborg/b2b-sales-analysis
Language: Jupyter Notebook - Size: 945 KB - Last synced at: over 1 year ago - Pushed at: almost 4 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: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
