customer-churn
There are 42 repositories under customer-churn topic.
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. ➡️
sondosaabed/Customer-Churn-Dataset-Analysis
Machine Learning, EDA, Classification tasks, Regression tasks for customer churn
Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
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
souvikg544/CustoPlus
Analyze your customer database with ease
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.
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.
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.
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.
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.
sharmi1206/telecom-customer-segmentation
Telecom Customer segmentation and Churn Prediction
alisoltanirad/customer-churn
Prediction of whether or not a customer leaves in an specific period of time, deployed to GCP
chandanmalla/Telecom-Customer-Churn
Visualization and Applying linear models on determining the churn, a hackathon winning project.
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.
dhivyeshrk/Customer-Churn-Prediction
Derive insights of factors contributing to customer churn in the Telecom Industry.
eiliaJafari/tree-based-customer-churn-rate
Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .
izam-mohammed/Customer-Churn
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. 🚀📊
marinafajardo/prevendo-customer-churn
Prevendo Customer Churn em Operadoras de Telecom
TrungKhoaLe/telco-customer-churn
Customer churn prediction with gradient boosted trees
VladOnMyOwn/customer-churn-analysis
My solution for DataCamp case study "Analyzing Customer Churn in Power BI".
alessiamonfardino22/Customer_Churn
This Python report is designed for a business which is worried by high customer churn.
Dada-Tech/customer-churn-random-forest
Predicting Customer Retention with Machine Learning | Forked my teams original project for further customization
dungltk/AI_customer_churn_predict
Build a model using XGBoost algorithm to predict customer churn in banking dataset
Haripprasath-M/Customer_Churn_Analysis_and_Predictions
This project predicts customer churn using machine learning. It involves data cleaning, EDA, feature engineering, and model evaluation. AdaBoostClassifier with SMOTE was optimized using GridSearchCV and validated with ROC analysis.
ISHOOO/Churn-Predictor
Performs customer churn prediction, built using logistic regression
janasatvika/Customer-churn-prediction-using-supervised-learning-algorithm
The repository presented steps for building a model that predicted whether a customer would switch telecommunication service providers.
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.
ndungek/Customer-Churn-Prediction
This project leverages ML algorithms to predict and tackle customer churn effectively.
Rifanrs/customer-churn
Customer Churn
AdrijeGuha/Customer-Retention
Creation of a dashboard in Power BI reflecting all relevant Customer Churn's Key Performance Indicators (KPIs) for Phone Now Call Centre.
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.
guilhermedom/customer-churn-logistic-regression
PySpark with logistic regression predicting if customers will exit a bank service.
Haritsmz/Telco_Customer_Churn
Telco Customer Churn Prediction project focuses on developing a predictive model to identify customers who are likely to cancel their subscription with a telecommunications company.
mxagar/sparkify_customer_churn
This project analyzes and predicts customer churn of a music streaming service using Spark on a large dataset.
sudarshan710/customerChurnAutomation
Automated Churn Prediction using Classifier Model and deploy as a Streamlit Web Application