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

sondosaabed/Customer-Churn-Dataset-Analysis

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

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.

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.

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. 🚀📊

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

alewoo/BankChurnPredictor

An end-to-end ML application that predicts bank customer churn using 9 different models and provides AI-generated retention strategies with Groq LLM. Built with Streamlit for interactive predictions and visualizations.

brenden-DS/Customer-Churn-Analysis

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 .

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.

marinafajardo/prevendo-customer-churn

Prevendo Customer Churn em Operadoras de Telecom

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.

n-liyana/customer-churn-prediction

Predict customer churn using machine learning models with the Telco Customer Churn dataset. Includes EDA, feature engineering, and Random Forest classification.

ndungek/Customer-Churn-Prediction

This project leverages ML algorithms to predict and tackle customer churn effectively.

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".

alisoltanirad/customer-churn

Prediction of whether or not a customer leaves in an specific period of time, deployed to GCP

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

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.

arya-io/telco-customer-churn-eda

This project conducts an exploratory data analysis (EDA) on a Telco customer churn dataset. It visualizes key factors influencing customer churn, including payment methods, contract types, and service usage. The insights gained aim to help businesses understand customer retention and develop strategies to reduce churn rates.

barisgudul/ANN_Customer_Churn-_Prediction

Customer Churn Prediction with Artificial Neural Networks (ANN)

eagleanurag/Customer-Churn-Prediction-using-Azure-Databricks

Customer churn prediction using Azure Databricks and Apache Spark, covering data preprocessing, model training, evaluation, and deployment.

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.

MissK143/Telco-Churn-Corr

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

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.

shreyaschimote/Proj_Customer_Churn

utkarshranaa/ChurnPred-

ChurnGuard is a machine learning-based customer churn prediction system that analyzes key factors influencing customer retention. It employs EDA, Random Forest, and hyperparameter tuning to improve churn classification accuracy.