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Notebooks

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.