Practical Machine Learning for Data Analysis Using Python

By Abdulhamit Subasi

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.

• Format: Paperback
• Language: English
• ISBN: 0128213795
• ISBN13: 9780128213797
• Release Date: June 2020
• Publisher: Academic Press
• Length: 534 Pages
• Weight: 2.00 lbs.
• Dimensions: 1.1" x 7.5" x 9.3"