'Data Science from Scratch' tutorial covering Probability (chapter 6) and Naive Bayes (chapter 13)
WiDS_Probability.ipynb (author @jess010) contains a series of probability questions that cover basic probability, permutations and combinations, and dependence and independence.
WiDS_NaiveBayes.ipynb (author @juliathebrave) works up to understanding the Naive Bayes classifier found in chapter 13 of 'Data Science from Scratch' by Joel Grus. The project creates a baby spam filter using the data from the SpamAssassin Public Corpus.
The slide deck (authors @elisaF, @jess010, and @juliathebrave) contains links to additional resources.