We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1. To know the extent to which we can generalize our observations, we ...

This project focuses on applying bootstrap sampling, a powerful resampling method, to improve the evaluation of machine learning models. The project uses the Scikit-learn Breast Cancer Diagnostics ...

We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1. To know the extent to which we can generalize our observations, we ...

This project processes reaction time data from experimental participants, applies bootstrap resampling, and organizes the results in a structured format for further analysis. Runs bootstrap resampling ...