The Model Asset Exchange

video-placeholder
Loading...
IBM
4.5 (21,357 ratings) | 200K Students Enrolled
Course 2 of 10 in the IBM Data Science Specialization
View Syllabus

Reviews

4.5 (21,357 ratings)
  • 5 stars
    67.76%
  • 4 stars
    21.95%
  • 3 stars
    6.55%
  • 2 stars
    2.02%
  • 1 star
    1.70%
TY
Sep 25, 2020

The course is interesting. It presents large spectrum of tools. It could be more helpful to provide general information on different tools and focus on few of them such as R, GitHub for example.

AH
Apr 17, 2021

All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.

From the lesson
Data Scientist's Toolkit

Taught By

  • Placeholder

    Aije Egwaikhide

    Senior Data Scientist
  • Placeholder

    Svetlana Levitan

    Senior Developer Advocate with IBM Center for Open Data and AI Technologies
  • Placeholder

    Romeo Kienzler

    Chief Data Scientist, Course Lead

Explore our Catalog

Join for free and get personalized recommendations, updates and offers.