ChristopherfieldingDecision trees and random forestsThe random forest is an incredibly flexible and powerful type of model. It is made up of several other models, called decision trees. This…May 24, 2022May 24, 2022
ChristopherfieldingSupport vector machinesThis article will first delve into the theory of support vector machine classifiers, then it will elaborate on some real-world…Apr 20, 2022Apr 20, 2022
ChristopherfieldingNaïve Bayes Classification for discrete and continuous variablesThis article will take you through the theory behind two versions of the naïve Bayes model in machine learning. It will describe the theory…Apr 1, 2022Apr 1, 2022
ChristopherfieldingLinear regression and some of its derivativesThis article will take you through linear regression and two of its derivatives — polynomial regression and logistic regression. It will…Mar 29, 2022Mar 29, 2022
ChristopherfieldingFeature scaling and dummy encoding, and their application in Scikit LearnA basic introduction to feature scaling and dummy encoding with a method to overcome the shortcomings of the associated Scikit-Learn…Dec 3, 2021Dec 3, 2021