The pupose of this work is to create a model that helps predict the unsubscription (churn) of a given customer or a group of customers according to their age, gender, salary etc... using the provided data.
In order to run the notebook (Customer_Churn.ipynb) you need to download the data set (Telco_customer_churn.csv) and place it under users/maily or users/'username', also you can download the image (zip code.png) and place it under the same folder in order to vizualize the distibution of churned customers among different areas.
This is an academic project that has already been worked on. different resources (code and data) are available on Kaggle.