From-Jupyter-Notebook-to-MLOps-End-to-End-Implementation

A Step by Step guide to go from running a simple Jupyter Notebook to Implementing End to End MLOps.

The series of Notebooks aim to help ML Engineers / Data Scientists to learn how to build an end to end MLOps workflow using Amazon SageMaker on the AWS Cloud Platform.

Credits to NAMAN MANCHANDA for creating this simple Notebook on Kaggle which we use to implement the MLOps workflow.

Notebook Link: https://www.kaggle.com/code/namanmanchanda/heart-attack-eda-prediction-90-accuracy/notebook.