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Distributed Machine Learning and Its Implementation with H2O

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1.Introduction to Machine Learning

Let’s Dive In Machine Learning Concepts Evaluating Machine Learning Models Machine Learning Frameworks Quiz: Machine Learning Concepts

2.Supervised Learning: Regression Models with H2O

Regression with H2O Exploratory Data Analysis Setting Up the H2O Cluster Regression Model and Prediction Regression Model Explanation Challenge: Improve H2OXGBoost Regression Model Solution: Improve H2OXGBoost Regression Model Quiz: H2O Regression Concepts

3.Supervised Learning: Classification Models with H2O

Classification with H2O Exploratory Data Analysis Setting Up the H2O Cluster H2O AutoML Is All You Need Classification Model and Prediction Model Tuning with H2O Grid Search Classification Model Explanation Challenge: Classifier Model Feature Engineering Solution: Classifier Model Feature Engineering Quiz: H2O Classification Concepts

4.Unsupervised Learning: Clustering with H2O

Clustering with H2O Exploratory Data Analysis Clustering Model and Prediction Challenge: Analyzing Clusters Solution: Analyzing Clusters Quiz: H2O Clustering Concepts

5.Unsupervised Learning: Anomaly Detection with H2O

Anomaly Detection with H2O Anomaly Detection Model and Prediction Interpreting H2O Isolation Forest Model Challenge: Interpreting Anomalies Solution: Interpreting Anomalies Quiz: H2O Anomaly Detection Model

6.Closing Notes

7.Appendix

H2O Installation

Distributed Machine Learning and Its Implementation with H2O

Quiz: H2O Regression Concepts

Test your knowledge and understanding of H2O regression concepts.

We'll cover the following...

Technical Quiz

1.

Which is not a hyperparameter for the H2OXGBEstimator model?

A.

max_depth

B.

learn_rate

C.

verbose

D.

n_estimators

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