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Machine Learning With Python Cookbook: Practical Solutions from Preprocessing to

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What Stands Out

Hands-On Approach
Offers practical solutions through hands-on examples, making complex machine learning concepts accessible for beginners and intermediates alike.
Comprehensive Coverage
Covers everything from data preprocessing to model deployment, ensuring readers grasp each critical stage of the machine learning pipeline effectively.
User-Friendly Format
Structured as a cookbook, this resource enables quick reference and easy navigation, ideal for data scientists seeking immediate solutions to diverse challenges.

Rincian Produk

Shop Machine Learning With Python Cookbook: Practical Solutions from Preprocessing to online at a best price in Timor-Leste. 385516085186
  • Practical guide with nearly 200 self-contained recipes for solving machine learning challenges
  • Covers handling numerical and categorical data, text, images, dates and times, dimensionality reduction, and model evaluation and selection
  • Includes code snippets for each recipe along with discussions providing meaningful context
  • Author, Chris Albon, holds a Ph.D. in quantitative political science with a decade of experience in statistical learning and artificial intelligence
  • Published by O'Reilly Media in 2018 with 300 pages and an ISBN-13 of 9781491989388
  • Available in paperback format with free delivery in the UK
ISBN-139781491989388
Book TitleMachine Learning With Python Cookbook
UPCDoes not apply
ISBN9781491989388
EAN9781491989388
Publication Year2018
TypeReference
FormatPaperback
LanguageEnglish
Publication NameMachine Learning with Python Cookbook
Item Height232mm
AuthorChris Albon
PublisherO'reilly, INC International Concepts, USA
Item Width177mm
SubjectWriting & Reading, Engineering & Technology, Technology, Computer Science
Item Weight614g
Number of Pages366 Pages

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners seeking practical recipes to implement machine learning techniques using Python effectively.

  • Experienced Developers

    Helpful for developers transitioning into machine learning, providing easy-to-follow solutions and code snippets.

  • Hands-on Learners

    Perfect for individuals who prefer interactive learning through practical examples and real-world applications of machine learning.

Not Suitable For
  • Absolute Beginners

    Not suitable for complete beginners without any programming or machine learning background, as some prior knowledge is beneficial.

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