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MLOps : Machine Learning model deployment to Heroku Cloud Platform using Dockers and Github Actions

This repository builds a Machine Learning model from scratch and deploys the ML model in 4 ways as follows:

  1. automated POST API using flask and Postman
  2. front-end web application on local server using flask and html
  3. deploy to Heroku cloud without Dockers
  4. deploy to Heroku cloud with Dockers, CI/CD pipeline and Github Actions

Software and Tools Requirements :

  1. Github Account
  2. VSCode IDE
  3. Git CLI
  4. Postman
  5. Heroku Account

Steps to build ML model :

Create environment

conda create -p venv python==3.7

Install required libraries

pip install -r requirements.txt

Reference : https://github.com/krishnaik06/bostonhousepricing.git