Practical Machine Learning on H2O

About this Course

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.

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

Instructor rating

4.44/5 (9 Ratings)

Darren Cook

6,815 Learners

1 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

Syllabus - What you will learn from this course

Week

1

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!2m

What's In Week One?2m

Need To Know5m

Preinstall #1 (with Linux)7m

Preinstall #2 (with Windows)4m

Installing H2O4m

A Quick Deep Learning!19m

AutoML6m

Types Of Models7m

Where To Go With Questions2m

Summary1m

4 readings

Further Reading: Course Prerequisites10m

Pre-Install Summary10m

Additional Install Information10m

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 Intro1m

Decision Trees3m

Random Forest2m

Random Forest in H2O (Iris)4m

GBM2m

GBM in H2O (Iris)3m

Importing From Client4m

Artificial Data Sets6m

Overfitting and Train/Valid/Test4m

Train/Valid/Test in H2O3m

GBM in H2O (artificial data)4m

Let's Overfit A GBM!4m

Cross-validation in H2O (GBM)7m

About the peer review task3m

Week Two Summary44s

1 reading

Week 3

3 hours to complete

LINEAR MODELS AND MORE

3 hours to complete

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

Week

4

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 Stopping4m

Load & Save Models1m

Binding data tables6m

Merging and joins3m

Neural Networks6m

Deep Learning Part 19m

Deep Learning Part 210m

Deep Learning with Grids11m

Regression with Deep Learning7m

Introducing The Graded Task3m

Summary Of Week Four1m

2 readings

More Neural Net Theory10m

Extension Project Ideas10m

5 practice exercises

Early Stopping30m

Binding30m

Merging30m

Deep Learning Basics30m

More Deep Learning30m

Reviews

4.5

15 reviews

5 stars
66.17%
4 stars
25%
3 stars
4.41%
2 stars
1.47%
1 star
2.94%

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

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, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Practical Machine Learning on H2O