Introduction-to-MLOps

This repository contains a code to get started with the MLOps workflow

Initialisation

1- Create virtual environment and install dependencies

bash init.sh

2- Open jupyter notebook and select the MLOps-env environment

Overview

In this lab, you will be able to run an end-to-end machine learning project, from data collection to data processing, and model training with Hyperparameter tuning. The best model is saved and then used to build an inference pipeline that will be deployed locally