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)

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).

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

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

visualisation of churn data of a bank

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

A project demonstrating how to predict customer churn based on product usage behaviours.

Customer Churn Analysis for a website

Churn rate analysis with artificial neural network.

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

Machine-Learning-1

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.

Challenge de Data Science da Alura - Alura-Voz

Importance of churn Analysis and some concept upon it

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

PhoneNow Customer Retention Analysis - PwC Switzerland virtual case experience

Challenge de Data Science desenvolvido pela Alura, para montar um conjunto de análises e modelos de machine learning supervisionado para auxiliar o time de vendas da empresa Alura Voz a fidelizar clientes.

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

Customer Churn Prediction with data from Kaggle

IST434 Big data analytics end of term paper