Decision Tree Decision Tree is a supervised machine learning model, that can handle both regression and classification problems. It is a non-parametric method which makes it very versatile. The tree makes decisions which mirror human decision thought process so can be easily interpreted. A tree is comprised of nodes, branches, and leaves. Except for the […]
Tag: Machine Learning
K-Nearest Neigbors Algorithm
K-Nearest Neighbors (KNN) is a supervised machine learning algorithm. It is very interpretable and straightforward. The most common use case of KNN is for classification problems (It can be used to solve regression problems though). To predict the class of a new data point, it considers the classes of its “K” number of nearest data […]
An Overview of Logistic Regression
What is logistic regression? When we are dealing with problems that require prediction of outcomes in binary classes, simple linear regression does not suffice. Imagining that it will be hard to fit a straight line to two distinctly separate data groups. The output of linear regression is continuous and can go to infinity. Here shed […]