Machine Learning With Python Cookbook: Practical Solutions from Preprocessing to
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What Stands Out
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- 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-13 | 9781491989388 |
| Book Title | Machine Learning With Python Cookbook |
| UPC | Does not apply |
| ISBN | 9781491989388 |
| EAN | 9781491989388 |
| Publication Year | 2018 |
| Type | Reference |
| Format | Paperback |
| Language | English |
| Publication Name | Machine Learning with Python Cookbook |
| Item Height | 232mm |
| Author | Chris Albon |
| Publisher | O'reilly, INC International Concepts, USA |
| Item Width | 177mm |
| Subject | Writing & Reading, Engineering & Technology, Technology, Computer Science |
| Item Weight | 614g |
| Number of Pages | 366 Pages |
Who Should Buy?
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Aspiring Data Scientists
Ideal for beginners seeking practical recipes to implement machine learning techniques using Python effectively.
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Experienced Developers
Helpful for developers transitioning into machine learning, providing easy-to-follow solutions and code snippets.
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Hands-on Learners
Perfect for individuals who prefer interactive learning through practical examples and real-world applications of machine learning.
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Absolute Beginners
Not suitable for complete beginners without any programming or machine learning background, as some prior knowledge is beneficial.
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