pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets

More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python

Solved 9 biz tasks by 18 graphs and 10 statistical methods include dummy data partitioning (RMSE & R2), stepwise model selection, multicollinearity (correlation, VIF), MLR, GLM for logistic regression.

Comparison of metal's toxicity rankings

various visual-mining / data-mining programs