I use this repository for my projects about data science and statistical inference. The main projects are
- Python Cookbook Python data structures, and code examples using the Python core packages for data science: NumPy, Pandas, Matplotlib, SciPy.
- covid19 monitoring notebook is a single notebook in python that monitors the spread of the virus in some European countries.
- Statistical Learning is a collection of notebooks in R with my notes about a course on statistical inference and worked out examples taken from the book used in the course.
- Bayesian Inference is a collection of notes about probability and bayesian inference and R scripts taken from the books I am using for this project.
The Digital Image Processing folder has been moved to a new repository dip. The copernicus folder has been moved to the new repository copernicus. The iia folder has been moved to the new climate repository.
A list of open data sets about science, economics, finance, and health is available here.
PyMC, Bayesian probabilistic programming in Python
KDEpy, Kernel density estimation for Python
Pyro, deep universal probabilistic programming