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 code for the second edition of Think Bayes, by Allen Downey.
Interpretable ML package 🔍 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
Text and supporting code for Think Stats, 2nd Edition