Introduction to Machine Learning with Python: A Guide for Data Scientists
Product ID: 249677388
🐍Python-focused practical guide
📘392 pages of expert content
⚙️Hands-on with scikit-learn pipelines
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Description
🐍 Unlock the power of Python-driven machine learning mastery!
- COMPREHENSIVE 392 PAGE GUIDE - Deep dive into algorithms without drowning in math
- BOOST YOUR DATA SCIENCE CAREER - Learn techniques that top data scientists use daily
- FOCUS ON REAL WORLD APPLICATIONS - From text processing to model pipelines, get hands-on skills
- LEVERAGE SCIKIT LEARN LIKE A PRO - Build, evaluate, and tune models with industry-standard tools
- MASTER MACHINE LEARNING WITH PYTHON - Step-by-step practical approach for beginners and pros alike
This 392-page paperback from O'Reilly Media offers a practical, beginner-friendly introduction to machine learning using Python and the scikit-learn library. It emphasizes application over theory, guiding readers through data representation, model evaluation, parameter tuning, and text data processing. Ideal for aspiring data scientists seeking hands-on skills without heavy math, it ranks in the top 100 programming books and boasts a 4.5-star rating from over 660 reviews.
Specifications
| Best Sellers Rank | #87,237 in Books ( See Top 100 in Books ) #42 in Programming Algorithms #105 in Web Programming #158 in Computer Programming Languages |
| Customer reviews | 4.5 4.5 out of 5 stars (661) |
| Dimensions | 17.53 x 1.78 x 23.11 cm |
| Edition | 1st |
| ISBN-10 | 1449369413 |
| ISBN-13 | 978-1449369415 |
| Item weight | 680 g |
| Language | English |
| Print length | 398 pages |
| Publication date | 15 November 2016 |
| Publisher | O'Reilly Media |
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