A personal collection of Jupyter notebooks containing practices, notes, and evaluations on probability and statistics.
This repo is mainly a personal space for recording what I'm learning — practice problems, explanations, quick evaluations, or anything else related to probability and statistics. There's no fixed structure; different notebooks may look different depending on what they're for (a worked exercise, a concept explanation, a simulation, etc.).
It's public on GitHub in case any of it is useful to others too.
- Jupyter Notebook — for writing notes, math, and running code together
- Python (numpy, pandas, matplotlib, scipy, seaborn, etc. depending on the notebook)
python -m venv venv
venv\Scripts\Activate.ps1 # Windows
pip install -r requirements.txt
jupyter lab- Math is written using LaTeX syntax, rendered natively by Jupyter/GitHub.
- Content and structure will evolve over time — this is a living notebook, not a polished course.