Introduction to Machine Learning with Python: A Guide for Data Scientists
Product ID: 51719904
🐍Python-powered practical ML
📊Hands-on data visualization
⚙️Scikit-learn workflow mastery
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Description
📚 Elevate your data game—be the ML pro your team envies!
- DATA DRIVEN INSIGHTS - Harness NumPy and matplotlib for impactful data representation
- BUILD REAL WORLD MODELS - From decision trees to gradient boosting, get your hands dirty
- STREAMLINE YOUR WORKFLOW - Learn pipelines to automate and optimize your ML projects
- MASTER ML WITH PYTHONS POWER - Unlock practical machine learning without heavy math
- TEXT DATA TECHNIQUES INCLUDED - Go beyond numbers with specialized text processing methods
Introduction to Machine Learning with Python is a beginner-friendly guide that empowers data scientists and Python users to build practical machine learning applications using scikit-learn. It focuses on applied techniques over theory, covering essential algorithms, data representation, model evaluation, and workflow automation, making it the perfect launchpad for professionals eager to integrate ML into their projects.
Specifications
| Best Sellers Rank | 315,699 in Books ( See Top 100 in Books ) 423 in Introduction to Programming 47,153 in Science, Nature & Maths |
| Customer reviews | 4.5 4.5 out of 5 stars (791) |
| 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 |
| Part of series | Learning Python |
| Print length | 400 pages |
| Publication date | 7 Oct. 2016 |
| Publisher | O′Reilly |
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