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.
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