This repository contains an ipython notebook which implements an Artificial Neural Network using keras to do churn prediction .
-
Updated
Jan 13, 2018 - Jupyter Notebook
This repository contains an ipython notebook which implements an Artificial Neural Network using keras to do churn prediction .
The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.
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…
This repository contains a starter notebook for the DSN PreBootcamp Expresso Churn Hackathon
Google Colab notebooks and sample datasets for the intensive Crash Course in Deep Learning at Kaunas University of Applied Sciences, Kaunas, Lithuania
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.
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.
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.
Add a description, image, and links to the churn-prediction topic page so that developers can more easily learn about it.
To associate your repository with the churn-prediction topic, visit your repo's landing page and select "manage topics."