Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

T. C. NokeriData Science Revealedhttps://doi.org/10.1007/978-1-4842-6870-4_13

13. Machine Learning Using H2O

Tshepo Chris Nokeri¹  

(1)

Pretoria, South Africa

 

This chapter concludes a book that familiarizes you with the world of data science. This book covers supervised learning and unsupervised learning, as well as dimension reduction. In addition, it concealed a subfield of machine learning, frequently recognized as deep learning. You might have realized that the field of machine learning is broad. You must be able to engineer data, optimize hyperparameters and develop, test, validate, deploy, and scale models to solve complex problems using machine learning ...