Pinned Repositories
Comparing-samples-statistically
Graphical and numerical methods for statistical comparison of two samples
Gaussian-Processes-Compare-Kernels
Looks at how different kernels affect predictions of GPs, when more complex ones are justified, and how overfitting works with GPs.
Perfecting-Palindrome-Products
an introduction to algorithm optimisation methods
Pretend-Poisson-Processes
Probability Problem - Pretend Poisson Processes
visual-linear-perceptron
water-dataset
create a simple classification dataset as an alternative to iris and penguins - water types (river, lake etc)
seaborn
Statistical data visualization in Python
numpy
The fundamental package for scientific computing with Python.
scikit-learn
scikit-learn: machine learning in Python
statsmodels
Statsmodels: statistical modeling and econometrics in Python
Gabriel-Kissin's Repositories
Gabriel-Kissin/Comparing-samples-statistically
Graphical and numerical methods for statistical comparison of two samples
Gabriel-Kissin/Gaussian-Processes-Compare-Kernels
Looks at how different kernels affect predictions of GPs, when more complex ones are justified, and how overfitting works with GPs.
Gabriel-Kissin/Perfecting-Palindrome-Products
an introduction to algorithm optimisation methods
Gabriel-Kissin/Pretend-Poisson-Processes
Probability Problem - Pretend Poisson Processes
Gabriel-Kissin/visual-linear-perceptron
Gabriel-Kissin/water-dataset
create a simple classification dataset as an alternative to iris and penguins - water types (river, lake etc)