This repository demonstrates a medical cost estimator startup project which makes use of Machine Learning in order to predict medical expenses of people given a certain attributes about them.
This startup is the mid-term assignment for the course "Make Money With Machine Learning" and has been deployed as a web-application using flask. The payment method has been setup using stripe.
The accuracy of this model in predicting expenses is close to 83% and has been trained on insurance data. This is the repository demonstrating the EDA for this startup project and this demonstrates how the model was prepared and trained.
