mcamilo / burnedcalories

A repository for the example given in the lecture 06 of the MLOps course at the University of Trieste. Lectured by me and professor Sylvio Barbon.

Lecture 06 - Regression and Deployment

In this lecture we conducted an Exploratory Data Analysis on the calories/exercises datasets, we induced a Regression Model to predict the amount of calories that a person would burn during a workout, and lastly we serve this model with the Model Serving Pattern: Model-as-service, and deploy it as Docker Containers.

• Kaggle Dataset

Deployment tools required

• FastAPI+Docker

• Git Pages

• Render