A deep introduction to multiclass logistic regression with theory and Python implementation
Stefan Hrouda-Rasmussen
An introduction to the (Gaussian) Naive Bayes model with theory and Python implementation This post...
An introduction to Linear Discriminant Analysis (LDA) with theory and Python implementation
A deep introduction to Quadratic Discriminant Analysis (QDA) with theory and Python implementation
A gentle introduction to classification, overview of models, and important concepts therein
How to improve your linear regression with basis functions and regularization
Artificial IntelligenceIntroduction to basis functions and regularization with theory and Python implementation
We derive the maximum likelihood estimate and implement it
From intuitive explanation to mathematical theory with a classic coin toss example
An intuitive demonstration of the curse of dimensionality, and what we can do to combat it
Introduction to overfitting, hyperparameters, cross-validation with Python implementation