Introduction The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space (N — the number of features) that...

Introduction Classification is a two-step process, learning step and prediction step, in machine learning. In the learning step, the model is...

Introduction A Naive Bayes classifier is a supervised machine learning model that’s used for classification task. As a classifier, it is used in face...

Introduction Logistic Regression is a supervised machine learning algorithm used to classify a target variable based on one or more continuous or...

Introduction Linear Regression is a supervised machine learning algorithm which finds a best fit line between a dependent variable and one or more...

Introduction Machine Learning is said as a subset of artificial intelligence that is mainly concerned with the development of algorithms which allow a...