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Machine Learning with scikit-learn by Fabio Nelli is a book available to read on EtoBox.
What is Machine Learning with scikit-learn about?
In the chain of processes that make up the data analysis, the construction phase of predictive models and their validation are done by a powerful library called scikit-learn. In this chapter you will see some examples that will illustrate the basic construction of predictive models with some different methods. The scikit-learn Library scikit-learn is a Python module that integrates many of machine learning algorithms. This library was developed initially by Cournapeu in 2007, but the first real release was in 2010.This library is part of the SciPy (Scientific Python) group, a set of libraries created for scientific computing and especially for data analysis, many of which are discussed in this book. Generally these libraries are defined as SciKits, hence the first part of the name of this library. The second part of the library's name is derived from Machine Learning, the discipline pertaining to this library. Machine Learning Machine Learning is a discipline that deals with the study of methods for pattern recognition in data sets undergoing data analysis. In particular, it deals with the development of algorithms that learn from data and make predictions. Each methodology is base
- Author
- Fabio Nelli
- Publisher
- Apress : Imprint : Apress
- Published
- 2015
- Language
- EN
- ISBN
- 9781484209585
- Subjects
- Business, Programming, Language Learning
- Rating
- 3.7 / 5 (7 ratings)
- Updated
- 2026-03-14
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