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Scikit-learn is arguably the most popular Python library for machine learning today. Thousands of data scientists and machine learning practitioners use it for day to day tasks throughout a machine learning project’s life cycle. Due to its popularity and coverage of a wide variety of machine learning models and built-in utilities, jobs for Scikit-learn are in high demand, both in industry and academia. If you’re an aspiring machine learning engineer, ready to take real-world projects head-on, Hands-on Scikit-Learn for machine learning will walk you through the most commonly used models, libraries, and utilities offered by Scikit-learn. By the end of the course, you will have a set of machine learning problem-solving tools in the form of code modules and utility functions based on Scikit-learn in one place, instead of spread over several books and courses, which you can easily use on real-world projects and data sets.
The code bundle for this course is available here.
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