Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
9 lines
804 B
Markdown
9 lines
804 B
Markdown
# Statistics & ML
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Python has a rich ecosystem of libraries for statistical analysis and machine learning. SciPy extends NumPy with statistical tests, optimization, and signal processing. Scikit-learn provides a consistent API for building, evaluating, and deploying machine learning models. Together they cover the analytical needs of most data analysis work.
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Visit the following resources to learn more:
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- [@article@Python Statistics Fundamentals: How to Describe Your Data](https://realpython.com/python-statistics/)
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- [@video@Mastering Probability and Statistics in Python](https://www.youtube.com/playlist?list=PLVgEzPHodXi1wT9OK8B_W6Hs8Xc-gaG6N)
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- [@video@Machine Learning Tutorial Python | Machine Learning For Beginners](https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw) |