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
Practical Machine Learning on H2O
Instructor: Darren Cook
Access provided by SVKM'sMithibai College of Arts,Chauhan Institute of Science & Amrutben Jivanlal College of Commerce and Economics
8,779 already enrolled
Gain insight into a topic and learn the fundamentals.
74 reviews
Intermediate level
Some related experience required
3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Model Optimization
- Model Training
- Data Validation
- Anomaly Detection
- Random Forest Algorithm
- Supervised Learning
- Decision Tree Learning
- Machine Learning Software
- Applied Machine Learning
- Data Import/Export
- Unsupervised Learning
- Deep Learning
- Predictive Modeling
- Model Evaluation
- Data Manipulation
- Machine Learning Methods
- Machine Learning Algorithms
- Machine Learning
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
There are 6 modules in this course
Instructor
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Showing 3 of 74
RE
Reviewed on Sep 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.
KD
Reviewed on Oct 12, 2019
One of the best courses regarding machine learning!
RM
Reviewed on Sep 30, 2019
awsome but needs more to explain on autoencoder ,anomely
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