English | 2023 | ISBN: 978-1960833013 | 504 Pages | EPUB | 10 MB
Are you ready to dive into the world of Python machine learning?
Look no further! “Python Machine Learning: A Beginner’s Guide to Scikit-Learn” is the perfect guide for you. Written by experienced data scientist, Rajender Kumar, this book takes you on a journey through the basics of machine learning and the powerful Scikit-learn library.
KEY FEATURES:
- Detailed introduction to the fundamentals of machine learning and the Scikit-Learn library.
- Comprehensive coverage of essential concepts such as data preprocessing, model selection, evaluation, and optimization.
- Hands-on experience with real-world datasets and practical projects that will help you develop the skills you need to succeed in machine learning.
- Easy-to-follow explanations and step-by-step examples that make it easy for beginners to get started and advanced users to take their skills to the next level.
- See how machine learning is being used to solve problems in industries such as healthcare, finance and more.
This book is perfect for beginners who are new to machine learning and want to learn Scikit-Learn from scratch. It is also ideal for intermediate and advanced users who want to expand their knowledge and build more complex models.
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