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Practical Machine Learning for Data Analysis Using Python Subasi Paperback

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Practical Machine Learning for Data Analysis Using Python

Offers a practical Python-based toolkit for data analysis using different machine learning techniques

Abdulhamit Subasi (Author)

9780128213797

Paperback / softback, published 7 June 2020

534 pages

23.5 x 19 x 3.3 cm, 1.11 kg

Practical Machine Learning for Data Analysis Using Python is a problem solver\u2019s 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 sig]

Practical Machine Learning for Data Analysis Using Python Subasi Paperback

Practical Machine Learning for Data Analysis Using Python

Offers a practical Python-based toolkit for data analysis using different machine learning techniques

Abdulhamit Subasi (Author)

9780128213797

Paperback / softback, published 7 June 2020

534 pages

23.5 x 19 x 3.3 cm, 1.11 kg

Practical Machine Learning for Data Analysis Using Python is a problem solver\u2019s 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 sig]

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