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.
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Practical Machine Learning on H2O
H2OÀ propos de ce cours
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Programme de cours : ce que vous apprendrez dans ce cours
H2O AND THE FUNDAMENTALS
Trees And Overfitting
LINEAR MODELS AND MORE
Deep Learning
Avis
- 5 stars66,66 %
- 4 stars25 %
- 3 stars4,16 %
- 2 stars1,38 %
- 1 star2,77 %
Meilleurs avis pour PRACTICAL MACHINE LEARNING ON H2O
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.
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.
awsome but needs more to explain on autoencoder ,anomely
One of the best courses regarding machine learning!
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