This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

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)

Churn analysis on a sample E commerce data

Code for a Shiny app calculatiing cost/revenue for churn prevention

Customer Churn Analysis for a website

Machine-Learning-1

Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.

Challenge de Data Science da Alura - Alura-Voz

This Project is on the Customer Churn Prediction for a Particular bank in Europe. This Project is being developed for the DS 5220, Supervised Machine Learning under Dr. David Brady

Análise e predição do Churn de clientes de uma empresa de Telecomunicações.

Employee Churn Analysis, Feature Importance and Prediction Using Ensembling Model

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.

Exploratory data analysis of datasets available in Kaggle.(IPL dataset, Zomato dataset, Loan dataset, Telecom customer churn dataset)

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.

Telecom-Churn-Case-Study

Churn rate visualizations in Python

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

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

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.

Customer Churn Analysis in Telecom Industry