egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners
ML-algorithms from scratch using Python. Classic Machine Learning course.
This course helps aspiring machine learning practitioners understand how core ML algorithms work by building them from scratch using Python. You'll input theoretical descriptions and Python code for popular algorithms, and the output will be a deeper understanding of their mechanics and practical implementations. It's designed for individuals learning machine learning who want to go beyond just using libraries to truly grasp the underlying principles.
111 stars. No commits in the last 6 months.
Use this if you are a student or a new practitioner in machine learning who wants to build a strong foundational understanding of how algorithms function, rather than just using pre-built tools.
Not ideal if you are an experienced machine learning engineer looking for production-ready implementations or a quick reference for advanced techniques.
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Jupyter Notebook
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Oct 24, 2024
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