Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

T. C. NokeriData Science Solutions with Pythonhttps://doi.org/10.1007/978-1-4842-7762-1_10

10. Automating the Machine Learning Process with H2O

Tshepo Chris Nokeri¹  

(1)

Pretoria, South Africa

 

This is a short yet insightful chapter that concludes the book by explaining a straightforward approach to automating machine learning processes with the help of a widespread machine learning framework, known as H2O.

Exploring Automated Machine Learning

In a world saturated by innumerable machine learning frameworks, you might think that organizations would easily adopt machine learning. Unfortunately, that is not the case. There is a massive shortage of skills because ...