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O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
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Publisher : O’Reilly Media; 1st edition (October 8, 2019)
Language : English
Paperback : 318 pages
ISBN-10 : 1492047546
ISBN-13 : 978-1492047544
Item Weight : 2.31 pounds
Dimensions : 4.5 x 0.75 x 7 inches
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Machine Learning Pocket Reference: Working with Structured Data in Python
Structured data is the foundation of many machine learning projects, as it provides a clear and organized format for the algorithms to work with. In Python, there are several libraries and tools that can help you manipulate and analyze structured data efficiently.
In this pocket reference, we will cover some essential techniques for working with structured data in Python, focusing on common tasks such as data cleaning, feature engineering, and model evaluation. We will also explore popular libraries like pandas, scikit-learn, and numpy, which provide powerful tools for handling structured data in machine learning projects.
Whether you are a seasoned data scientist or a beginner looking to dive into machine learning, this reference guide will provide you with the knowledge and tools you need to work with structured data effectively in Python. Stay tuned for more tips and tricks on how to make the most out of your machine learning projects!
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