Applied Supervised Learning with Python: Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning

Applied Supervised Learning with Python: Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning

Benjamin Johnston , Ishita Mathur
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Apr 27, 2019 · 英語 · キンドル (406 ページ)
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本の詳細

形式 キンドル
ページ数 406
言語 英語
公開されました Apr 27, 2019
出版社 Packt Publishing
ISBN-10 1789955831
ISBN-13 9781789955835

説明

As machine learning continues to revolutionize various industries, the authors guide readers through the dynamic landscape of supervised learning using Python and scikit-learn. Focusing on practical applications, this resource helps readers grasp the essential concepts while working with real-world datasets.

With a clear and engaging writing style, the authors draw on their expertise to present step-by-step tutorials that empower readers to build robust predictive models. This hands-on approach ensures that learners not only understand theoretical principles but also acquire the skills necessary to navigate future advancements in machine learning technology.

ジャンル

科学＆技術

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