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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
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