Skip to content

Opening book details…

Can I read Practical Machine Learning for Data Analysis Using Python on EtoBox?

Practical Machine Learning for Data Analysis Using Python by Abdulhamit Subasi is a nonfiction available to read on EtoBox.

What is Practical Machine Learning for Data Analysis Using Python about?

__Practical Machine Learning for Data Analysis Using Python__ is a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems.

Who reads Practical Machine Learning for Data Analysis Using Python?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Abdulhamit Subasi
Publisher
Elsevier Academic Press
Published
2020
Language
EN
ISBN
9780128213797
Category
nonfiction
Subjects
Science, Computer Science, Stem

More by Abdulhamit Subasi

Browse all works by Abdulhamit Subasi

Similar books