This repo contains the code implementations I produced while studying the Bayesian Data Analysis course. All source code produced in this repo is writen in Python programming language.
- Basic terms of probability theory
- probability, probability density, distribution
- sum, product rule, and Bayes’ rule
- expectation, mean, variance, median
- Some algebra and calculus
- Basic visualisation techniques (R or Python)
- histogram, density plot, scatter plot
For further information, please refer to the oficial course page.