Case Study for Churn Modelling in a NGO
Importance of churn Analysis and some concept upon it
Oracle's churn challenge for the AI Hackathon, ACEin AUEB
This repository contains a comprehensive analysis of customer churn in the telecom industry and machine learning models that I used to gain insights into customer behavior and churn patterns. In addition, it contains a notebook to set up a connection to a remote Microsoft SQL Server.
Churn Prediction using Machine Learning.Go through the readme file to know about the project and how to run it.
Análisis con modelo predictivo del churn de una empresa de telecomunicaciones.
telecom prediciton using its past data to predict
This repository is designed to help you understand and implement machine learning models using PyTorch and PyTorch Lightning. By following the detailed lessons and code examples provided here, you will gain hands-on experience with essential concepts and techniques in deep learning.
This project aims to reduce churn rate from 16.8% to 10% by exploiting both diagnostic and predictive analytics. Using the final model, the churn rate can be reduced to even below 10% based on a simulation.
This code provides a glimpse on how to analyse Churn, Appetency and Upselling using R
Machine Learning Project
Supervised Machine Learning for potential churn customer prediction
Predicting which customers will churn and assign them an account manager.
A machine learning project to predict customer churn using classification models with SMOTE and hyperparameter tuning."
The second iteration of Cuana, an E2E customer analytics solution for churn/CLV prediction, segmentation & lead scoring
A machine learning model (Classification) to predict customer churn for banks. It helps identify at-risk customers, enabling proactive retention efforts to reduce revenue loss and improve customer satisfaction.
Predict customer churn using a deep learning ANN model deployed with Streamlit. Interactive UI, real-time predictions, and model trained on a real-world banking dataset.
Identificación de acciones concretas que ayuden a prevenir la pérdida de clientes (churn).
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