Instructor: Darren Cook

Skills you'll gain

  •   Deep Learning
  •   Supervised Learning
  •   Anomaly Detection
  •   Machine Learning Algorithms
  •   Applied Machine Learning
  •   Decision Tree Learning
  •   Data Modeling
  •   Artificial Neural Networks
  •   Data Manipulation
  •   Data Import/Export
  •   Machine Learning
  •   Feature Engineering
  •   Random Forest Algorithm
  •   Unsupervised 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!

    Explore more from Machine Learning

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