Ementorhub

Skills you'll gain

Applied Machine Learning

Deep Learning

Anomaly Detection

Artificial Neural Networks

Machine Learning

Unsupervised Learning

Supervised Learning

Data Modeling

Random Forest Algorithm

Data Import/Export

Data Manipulation

Machine Learning Algorithms

Feature Engineering

Decision Tree Learning

Predictive Modeling

There are 6 modules in 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.

Trees And Overfitting

LINEAR MODELS AND MORE

Deep Learning

UNSUPERVISED LEARNING

Everything Else!