In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under.
Practical Machine Learning on H2O
Practical Machine Learning on H2O
Instructor: Darren Cook
Access provided by Prince of Songkla University
8,774 already enrolled
Gain insight into a topic and learn the fundamentals.
74 reviews
Intermediate level
Some related experience required
3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
There are 6 modules in this course
Instructor
Instructor ratings
(10 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
67.56%
- 4 stars
24.32%
- 3 stars
4.05%
- 2 stars
1.35%
- 1 star
2.70%
Showing 3 of 74
EA
Reviewed on Feb 3, 2019
Great content, a lot of hands-on activities and the instructor is quite good too. By the end of the course, I feel that I have the necessary skills to work with h2o.
RM
Reviewed on Sep 30, 2019
awsome but needs more to explain on autoencoder ,anomely
MP
Reviewed on Aug 10, 2019
It was a great experience to work with H2O both on R as well as Python.I learned a lot from the course.
Explore more from Data Science
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.