MLFlow in Action: Hands on guide to ML experiments
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MLFlow in Action: Hands on guide to
ML experiments

  • Deep dive into using MLFlow, teaching you how to efficiently manage
    and track machine learning experiments. Combining theoretical knowledge
    with hands-on exercises to master workflow optimization in machine learning projects.

Created by Selva Prabhakaran

  • 13 Video Lessons

  • English

  • English captions

What you will learn

01

Introduction to
MLFlow

02

Experiment
Tracking

03

Project Management with MLFlow

04

Model
Management

05

Hands on reproducible Python Codes

06

Integrations with
Other Tools

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

  • 75K+students

  • 50+ Courses

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