{"id":2929,"date":"2026-08-10T09:00:35","date_gmt":"2026-08-10T09:00:35","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-machine-learning-with-python-for-everyone-part-1-learning-foundations-2nd-edition-2022-8\/"},"modified":"2026-08-10T09:00:35","modified_gmt":"2026-08-10T09:00:35","slug":"oreilly-machine-learning-with-python-for-everyone-part-1-learning-foundations-2nd-edition-2022-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-machine-learning-with-python-for-everyone-part-1-learning-foundations-2nd-edition-2022-8\/","title":{"rendered":"Oreilly \u2013 Machine Learning with Python for Everyone Part 1: Learning Foundations, 2nd Edition 2022-8"},"content":{"rendered":"
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Description<\/span><\/h2>\n

The course Machine Learning with Python for Everyone Part 1: Learning Foundations 2nd Edition.. Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond nodding your head in the discussion and move on to coding machine learning tasks. These videos stay away from heavy math and focus on showing you how to turn introductory machine learning concepts into concrete code using Python, scikit-learn, and friends. Our focus is on stories, graphics, and code that build your understanding of machine learning. We minimize the sheer math. You will learn how to load and explore simple datasets. Build, train, and perform baseline learning evaluation for multiple models. Comparison of resource usage of different models in code snippets and scripts. And briefly review some of the software and math behind these techniques. If you are familiar with the basic concepts of machine learning and want an experienced hand to help you turn these concepts into running code, this course is for you. If you have some coding knowledge but want to see how Python can drive and train basic machine learning models, this course is for you. The prerequisite of the course is a basic understanding of programming in Python (variables, basic control flow, simple scripts).<\/span><\/p>\n

What you will learn in the course<\/span><\/h3>\n
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