Build Machine Learning Pipeline in Python and Deploy on Cloud easily

Moez Ali
9 min readAug 19, 2022

An end-to-end beginner’s guide to build machine learning pipeline in Python using PyCaret and deploy on Heroku Cloud

Photo by Igor Lypnytskyi 🇺🇦 on Unsplash

Introduction

In this tutorial we will build machine learning pipeline from scratch in Python using PyCaret library and a front-end web app using Flask framework and deploy it on Heroku cloud in few simple steps. You will learn:

  • What is a deployment and why we deploy ML pipelines.
  • Develop a machine learning pipeline using PyCaret.
  • Build a simple front-end web app using Flask framework.
  • Deploy ML pipeline with front-end web app on Heroku Cloud.
Image by Author

See live demo of app you will learn to build in this tutorial here

App you will build — https://pycaret-insurance.herokuapp.com/

Tools we will use in this tutorial

PyCaret

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Moez Ali
Moez Ali

Written by Moez Ali

Data Scientist, Founder & Creator of PyCaret

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