# Statistics & ML

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.

Visit the following resources to learn more:

- [@article@Python Statistics Fundamentals: How to Describe Your Data](https://realpython.com/python-statistics/)
- [@video@Mastering Probability and Statistics in Python](https://www.youtube.com/playlist?list=PLVgEzPHodXi1wT9OK8B_W6Hs8Xc-gaG6N)
- [@video@Machine Learning Tutorial Python | Machine Learning For Beginners](https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw)