Notebooks for the third edition of Think Stats
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Probabilistic reasoning and statistical analysis in TensorFlow
Text and supporting code for Think Stats, 2nd Edition
Text and code for the second edition of Think Bayes, by Allen Downey.
Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
A simple probabilistic programming language.
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises