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.
About this Course
Learner Career Outcomes
33%
got a tangible career benefit from this course
33%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 24 hours to complete
English
Subtitles: English
Instructor
Learner Career Outcomes
33%
got a tangible career benefit from this course
33%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 24 hours to complete
English
Subtitles: English
Offered by

H2O
Syllabus - What you will learn from this course
4 hours to complete
H2O AND THE FUNDAMENTALS
4 hours to complete
11 videos (Total 64 min), 4 readings, 5 quizzes
4 hours to complete
Trees And Overfitting
4 hours to complete
15 videos (Total 57 min), 1 reading, 4 quizzes
3 hours to complete
LINEAR MODELS AND MORE
3 hours to complete
9 videos (Total 56 min), 4 readings, 3 quizzes
5 hours to complete
Deep Learning
5 hours to complete
11 videos (Total 66 min), 2 readings, 6 quizzes
Reviews
TOP REVIEWS FROM PRACTICAL MACHINE LEARNING ON H2O
by RESep 10, 2018
I've taken a lot of Coursera classes and this is one of the better classes. It is a good hands-on course and will help students learn more about not only H2O, but also machine learning.
by EAFeb 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.
by MPAug 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.
by RMSep 30, 2019
awsome but needs more to explain on autoencoder ,anomely
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