About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Intermediate Level

Approx. 24 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Intermediate Level

Approx. 24 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.5/5 (10 Ratings)

Darren Cook

8,030 Learners

1 Course

Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

H2O AND THE FUNDAMENTALS

4 hours to complete

11 videos (Total 64 min), 4 readings, 5 quizzes

11 videos

Welcome!2mWhat's In Week One?2mNeed To Know5mPreinstall #1 (with Linux)7mPreinstall #2 (with Windows)4mInstalling H2O4mA Quick Deep Learning!19mAutoML6mTypes Of Models7mWhere To Go With Questions2mSummary1m

4 readings

Further Reading: Course Prerequisites10mPre-Install Summary10mAdditional Install Information10mFurther Reading: Getting Help10m

5 practice exercises

Do You Have What It Takes?30mQuick Preinstall Check30mQuick Install Check30mModel types30mWeek One Exam30m

Week2

Week 2

4 hours to complete

Trees And Overfitting

4 hours to complete

15 videos (Total 57 min), 1 reading, 4 quizzes

15 videos

Weekly Intro1mDecision Trees3mRandom Forest2mRandom Forest in H2O (Iris)4mGBM2mGBM in H2O (Iris)3mImporting From Client4mArtificial Data Sets6mOverfitting and Train/Valid/Test4mTrain/Valid/Test in H2O3mGBM in H2O (artificial data)4mLet's Overfit A GBM!4mCross-validation in H2O (GBM)7mAbout the peer review task3mWeek Two Summary44s

1 reading

LINEAR MODELS AND MORE

3 hours to complete

9 videos (Total 56 min), 4 readings, 3 quizzes

Week4

Week 4

5 hours to complete

Deep Learning

5 hours to complete

11 videos (Total 66 min), 2 readings, 6 quizzes

11 videos

Weekly Introduction and Early Stopping4mLoad & Save Models1mBinding data tables6mMerging and joins3mNeural Networks6mDeep Learning Part 19mDeep Learning Part 210mDeep Learning with Grids11mRegression with Deep Learning7mIntroducing The Graded Task3mSummary Of Week Four1m

2 readings

More Neural Net Theory10mExtension Project Ideas10m

5 practice exercises

Early Stopping30mBinding30mMerging30mDeep Learning Basics30mMore Deep Learning30m

Reviews

4.5

17 reviews

5 stars
66.66%
4 stars
25%
3 stars
4.16%
2 stars
1.38%
1 star
2.77%

TOP REVIEWS FROM PRACTICAL MACHINE LEARNING ON 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 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 KDOct 12, 2019

One of the best courses regarding machine learning!

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.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
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.
What will I get if I purchase the Certificate?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Practical Machine Learning on H2O

Practical Machine Learning on H2O

About this Course