moshesipper/Applied-Machine-Learning-Course
This course covers the applied side of algorithmics in machine learning, with some deep learning and evolutionary algorithms thrown in as well.
This course helps individuals understand and apply various machine learning techniques to real-world problems. It takes you from foundational math and Python skills through practical implementations of algorithms like decision trees, linear regression, and neural networks. This resource is for data analysts, researchers, or anyone looking to build predictive models or automate data-driven decisions.
Use this if you have a basic understanding of algorithms, algebra, calculus, and statistics, and want to learn how to implement machine learning solutions.
Not ideal if you are a complete beginner to programming or core mathematical concepts, as it requires specific prerequisites.
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Python
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Last pushed
Feb 25, 2026
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