Hi! I've created a Jupyter notebook that presents a simple probabilistic model linking diseases (cold, flu, COVID-19) to symptoms (fever, cough):
http://mybinder.org/v2/gh/piedenis/lea_mini_tutorials/master?filepath=Lea_CO VID19.ipynb Assuming that this model is accurate (which is probably not!), it allows you to answer questions like: What is the probability of having COVID-19 in the occurrence of fever but without cough? This model is programmed in Python, using Lea, a package dedicated to probabilistic programming (PP). Note that the goal is to let you discover PP and Bayesian reasoning, not to provide you usable/trustable figures (even if the calculations are plainly correct). Take care of you! Pierre Denis -- Python-announce-list mailing list -- python-announce-list@python.org To unsubscribe send an email to python-announce-list-le...@python.org https://mail.python.org/mailman3/lists/python-announce-list.python.org/ Support the Python Software Foundation: http://www.python.org/psf/donations/
