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A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Created
2023-08-24
216 commits to main branch, last one about a month ago
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
scipy
python
p-value
matplotlib
regression
statistics
probability
random-variables
python-statistics
hypothesis-testing
probability-theory
statiscal-learning
confidence-intervals
discrete-distributions
inferential-statistics
statistics-using-python
continuous-distributions
parametric-hypothesis-tests
statistics-for-data-science
statistical-hypothesis-testing
Created
2022-06-14
59 commits to main branch, last one about a month ago
Multiple hypothesis testing in Python
Created
2017-10-25
321 commits to master branch, last one 4 years ago
Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers
Created
2019-04-20
15 commits to master branch, last one 2 years ago