Machine Learning

What is K-Means Clustering? (https://i.stack.imgur.com/KPjMy.png) K-Means Clustering is the distribution of a group of sub-set observations (called clusters) such that […]

Introduction to Gradient Boosting In general, decision trees are known as an ensemble of weak learners. Gradient boosting is a

Introduction: Bootstrapping And Bagging When using ensemble templates, bootstrapping and bagging can be very helpful. Bootstrapping is in effect, random

Introduction: Random Forest A random forest is an ensemble model that combines many decision trees. Individually, predictions made by decision

Logistic Regression In Machine Learning Logistic Regression is a classification technique that is used to predict a discrete set of

What is Naive Bayes? Naive Bayes algorithm is not just a single classification algorithm but a group of algorithms. These

Introduction to Decision Tree Decision Tree is a popular supervised classification technique that is used when the target variable is