PinnedmsocziLASSO Regression: Step-by-Step Math Explanation with Implementation and ExampleLASSO (Least Absolute Shrinkage and Selection Operator), similar to ridge regression, is a certain modification of linear regression…2d ago12d ago1
PinnedmsocziLess is More: Random Forests ExplainedRandom forest is actually a small modification of the bagging algorithm. Therefore, I encourage you to familiarize with the following…Jul 121Jul 121
PinnedmsocziBoosting Algorithm: A Step-by-Step Explanation and ImplementationBoosting works by training a bunch of simple models one after the other. Each new model focuses more on the mistakes the previous ones…Aug 10Aug 10
PinnedmsocziRidge Regression: Step by step introduction with exampleRidge regression — a variation of linear regression.May 18May 18
PinnedmsocziIntroducing Multidimensionality: Multiple Linear RegressionAdvancing Your Understanding of Linear Regression with Multiple Explanatory VariablesNov 2, 2023Nov 2, 2023
msocziBagging: Quantity, Not Quality. Bootstrap aggregating with ExampleEnsemble methods — quantity, not qualityJun 14Jun 14
msocziNaive Bayes Classifier Explained: Step by Step Math ExampleWhat is the Naive Bayes Classifier in general?May 8May 8
msocziThe Roots of Decision Trees: Your Gateway to Tree-Based Machine Learning (with example)If you want to skip the theory, you can go straight to the EXAMPLE section.Mar 27Mar 27
msocziDemystifying Logistic Regression: A Gentle Introduction to Maximum Likelihood EstimationMar 22Mar 22
