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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
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