Ensemble Method — BoostingBoosting (Originally called hypothesis boosting) refers to any ensemble method that can combine several weak learners and their mistakes…Jul 6, 2021Jul 6, 2021
Ensemble Method — Random ForestRandom Forest is very similar to bagging trees (recommend reading my blog about bagging trees) but there is an added feature of randomness…Jul 6, 2021Jul 6, 2021
Ensemble Method — Bagging TreesAny method that combines more than one model is known as an Ensemble Method. In this post, we are going to talk about Bagged trees which…Jul 6, 2021Jul 6, 2021
Independence Of Two EventsIn this post, we introduce and develop the concept of independence between events. The general idea is the following:Jul 6, 2021Jul 6, 2021
Decision TreesIn this post, we are going to talk about one of the most important algorithms in machine learning, which is called Decision Trees. They are…Jul 6, 2021Jul 6, 2021
K-Nearest NeighborsK-Nearest Neighbors (aka KNN) is built of distance. In other words, we compute the similarity of each data point to all other existing data…Jul 1, 2021Jul 1, 2021
Linear Regression AssumptionsFor the simplicity of the article, I decided to make most of my examples on a simple regression model (one independent variable and the…Jun 26, 2021Jun 26, 2021
Data Science And Its Undeniable Effects On Our LivesHumankind has made very significant advances in science and technology. However, a large number of questions remain unanswered.Jun 26, 2021Jun 26, 2021
