Data preprocessing in Python. Volume 1. Tools and validation
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The two -volume presents materials on the use of classic machine learning methods for various industrial tasks.
Having read the first volume, you will learn:
- work in IPYTHON and Jupyter Notebook,
- apply the functions of the library Numpy,
- visualize the analysis results using the MatPlotlib libraries, Seaborn and Plotly,
- Perform preliminary preparation of data in the Pandas,
library />- work with Scikit-Learn classes, building data preparation models and machine learning models,
- apply various validation strategies
Having read the first volume, you will learn:
- work in IPYTHON and Jupyter Notebook,
- apply the functions of the library Numpy,
- visualize the analysis results using the MatPlotlib libraries, Seaborn and Plotly,
- Perform preliminary preparation of data in the Pandas,
library />- work with Scikit-Learn classes, building data preparation models and machine learning models,
- apply various validation strategies
Author:
Author:Gruzdev Artem Vladimirovich
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
ISBN:
ISBN:978-5-93700-156-6
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