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  • MLFlow in Action: Hands on guide to ML experiments

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

  • English

  • English captions

Validity Period: 365 days

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  •  Course Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts

What you will learn

01

Introduction to
MLFlow

02

Experiment Tracking

03

Project Management
with MLFlow

04

Model Management

05

Model Management

06

Integrations with Other Tools

Course Curriculum

4 Modules      |    14 Sessions     |    1 hour 11 min Total Time  

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Introduction to Docker

Sessions: 5 | Time: 17 min expand_more

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MLFlow Tracking

Sessions: 3| Time: 19 min expand_more

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Understanding MLruns Directory

Sessions: 4 | Time: 17 min expand_more

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Advanced Functionalities

Sessions: 4 | Time: 21 min expand_more

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

  • Professionals working with large datasets

  • Software/Data engineers interested in quantitative analysis

  • 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

Validity Period: 365 days

Get Subscription

Already Subscribed? Click here to access your courses

  •  Workshop Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts