Statistical Modeling Notebooks

A collection of Jupyter notebooks exploring probability problems end-to-end — setup, simulation, analytical solution, and visualization. Less "production ML", more "sharpen the intuition."

Golf shot probability. Models the distribution of tee-shot outcomes given a known dispersion pattern and course geometry. Useful as a counterweight to over-confident strokes-gained intuition.

Computing probabilities.A working scratchpad for classic problems — birthday paradox variants, gambler's ruin, Bayesian updating with conjugate priors. Written for the reader, not for the grader.

A portfolio with only shipping products is incomplete. These show how I think when the problem is open-ended and there's no PR to merge at the end.