A short notebook on how to perform analysis using Bayes and monte carlo markov models.
All data was randomly generated by me, and does not accurately represent traffic in Vancouver. Traffic in Vancouver is much much worse that is depicted in this model.
All work is stored in traffic.ipynb while a blog post was generated to go over the higher level aspects of the project.
The blog can be read here.
- Probabilistic Programming and Bayesian Methods for Hackers - Used to generate the base code
- Jupyter Lab - Used to write the notebook