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

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).

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

visualisation of churn data of a bank

Customer Churn Analysis for a website

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.

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.

Curso de Deep Learning con Tensorflow + Keras

This project aims to conduct an analysis of costumers behavior and perception of the brand, by implementing different marketing analytics techniques and methods: RFM (recency, frequency, monetary) model, churn classification, MBA (market basket analysis) and sentiment analysis.

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

Application pour analyser et prédire le churn client avec visualisations interactives

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