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
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Intermediate Level
Approx. 19 hours to complete
English
Subtitles: English
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. 19 hours to complete
English
Subtitles: English
Syllabus - What you will learn from this course
2 hours to complete
H2O AND THE FUNDAMENTALS
2 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
Further Reading: Getting Help10m
5 practice exercises
Do You Have What It Takes?10m
Quick Preinstall Check6m
Quick Install Check4m
Model types4m
Week One Exam14m
4 hours to complete
Trees And Overfitting
4 hours to complete
15 videos (Total 57 min), 1 reading, 4 quizzes
15 videos
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
Further Reading: Tree Algorithms10m
3 practice exercises
Decision Trees4m
Tree Algorithms8m
On cross-validation and over-fitting18m
2 hours to complete
LINEAR MODELS AND MORE
2 hours to complete
9 videos (Total 56 min), 4 readings, 3 quizzes
9 videos
Loading From Remote Sources6m
Exporting Data From H2O2m
Exploring With GLMs11m
Naive Bayes4m
Data Manipulation, Statistics11m
Grid Search8m
Applying Grids8m
Summary50s
4 readings
More on loading and saving10m
Further Reading: GLMs, Naive Bayes10m
Further Reading: Data Manipulation10m
Further Reading: Grid Search10m
3 practice exercises
Load/Save4m
GLMs6m
Week Three Exam16m
4 hours to complete
Deep Learning
4 hours to complete
11 videos (Total 66 min), 2 readings, 6 quizzes
11 videos
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 Stopping6m
Binding4m
Merging4m
Deep Learning Basics6m
More Deep Learning4m
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 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
by KDOct 12, 2019
One of the best courses regarding machine learning!
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:
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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.
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.
What is the refund policy?
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Is financial aid available?
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Will I earn university credit for completing the Course?
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