This repository contains the first project of the Machine Learning discipline guided by Prof. Dr. Ivanovitch Medeiros (at UFRN)
The main purposes of this project is using a fastAPI to deploy a predict model for heart disease, based on "https://archive.ics.uci.edu/ml/datasets/statlog+(heart)" dataset
The objective of the project is to carry out and implement a model capable of a decision tree capable of predicting the existence or not of heart disease from the physiological signs of patients.
For this we will use WandB + FastAPI + Heroku.
Students: Jordão Silva and Gabriel Maia
Link to Medium Article: https://medium.com/@jordao.cassiano.009/deploying-your-ml-model-into-production-using-wandb-fastapi-heroku-558aac33552a