This repository contains a list of notebooks explaining the intuition behind various statistical concepts. These are just some notes for me to look at to remember some of these important element for data science.
- chi-squared: explaining intuition behind chi-squared, how it is calculated in python and when it is usefull to use it.
- t-test: explaining intuition behind t-test, how it is calculated in python and when it is usefull to use it.
- uncertainty_estimation_test: explaining intuition behind uncertainty estimation and ways to calculate it in python.
- bayesian: a folder containing various bayesian examples.
- multiconstrained_optimisation_fantasy_football: example notebook solving a multiconstrained optimisation problem.