Deployment of ML Models

  • Learn how to convert your ML models to a productionizable app. Host it in AWS EC2 instance performed
    live and learn all the intermediate steps, purpose behind it and best practices.

Created by Selva Prabhakaran

  •  19 Video Lessons

  • English

  • English captions

What you will learn

01

How to Productionize ML Models

02

How to convert ML models to a Flask app

03

Design the frontend and backend of the app

04

Creating an EC2 Instance live and in detail

05

Connecting to EC2 from local and transferring files

06

Improve the UI of the app using Bootstrap framework

07

Best practices while hosting ML apps in AWS EC2

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

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