Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.

This repository contains a starter notebook for the DSN PreBootcamp Expresso Churn Hackathon

Churn Prediction Model with EDA, Feature Engineering and testing out different models. Based on a kaggle notebook.

This Project is a research on Churn Prediction Analysis. It contains a detailed Jupyter Notebook on a Bank's Churn Model. It is advantageous for banks to know what leads a client towards the decision to leave the company.

This repository contains an ipython notebook which implements an Artificial Neural Network using keras to do churn prediction .

Google Colab notebooks and sample datasets for the intensive Crash Course in Deep Learning at Kaunas University of Applied Sciences, Kaunas, Lithuania

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.

In this notebook, I used scikit-learn to predict churn risk. Scikit-learn provides implementations of many classification algorithms. In here, I have done a comparative study of 5 different classification algorithms. To help visualize what I am doing, I used 2D and 3D charts to show how the classes look (with 3 selected dimensions) with matplotl…