Data preprocessing in Python. Volume 2. Plan, examples, and quality metrics
Please sign in so that we can notify you about a reply
The two -volume presents materials on the use of classic machine learning methods for various industrial tasks.
After reading the second volume, you will learn:
- draw up a preliminary preparation plan,
- design signs,
- select signs,
- work with metrics binary classification and regression,
- perform Bayesian optimization of hyperparameters,
- create Docker,
containers- build models using the H2O platform
After reading the second volume, you will learn:
- draw up a preliminary preparation plan,
- design signs,
- select signs,
- work with metrics binary classification and regression,
- perform Bayesian optimization of hyperparameters,
- create Docker,
containers- build models using the H2O platform
Author:
Author:Gruzdev Artem Vladimirovich
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
ISBN:
ISBN:978-5-93700-177-1
No reviews found