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
Gain insight into a topic and learn the fundamentals.
4.5
(74 reviews)
Intermediate level
Some related experience required
24 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace
Details to know
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Assessments
20 assignments
Taught in English
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There are 6 modules in this course
What's included
11 videos4 readings5 assignments
What's included
15 videos1 reading3 assignments1 peer review
What's included
9 videos4 readings3 assignments
What's included
11 videos2 readings5 assignments1 peer review
What's included
10 videos2 readings3 assignments
What's included
9 videos2 readings1 assignment1 peer review
Instructor
Instructor ratings
4.5 (10 ratings)
Offered by
Recommended if you're interested in Machine Learning
Coursera Project Network
University of London
University of California San Diego
New York Institute of Finance
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Learner reviews
4.5
74 reviews
- 5 stars
67.56%
- 4 stars
24.32%
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4.05%
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1.35%
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2.70%
Showing 3 of 74
RM
4
Reviewed on Sep 30, 2019
awsome but needs more to explain on autoencoder ,anomely
EA
5
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.
KD
5
Reviewed on Oct 12, 2019
One of the best courses regarding machine learning!
New to Machine Learning? Start here.
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.