unpingco/Python-for-Probability-Statistics-and-Machine-Learning

These notebooks demonstrate probabilistic modeling and statistical inference using NumPy, SciPy, and scikit-learn, with hands-on examples covering distributions, hypothesis testing, Bayesian methods, and supervised/unsupervised learning algorithms. The implementation emphasizes numerical computation and visualization through Matplotlib, building foundational concepts before advancing to machine learning applications. Designed as executable educational material that bridges theory and practice in the Python data science stack.

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