*Don't have R installed yet? Read my previous article to learn how: Statistical Computing: Installing R and RStudio
This is a quick introduction on popular Supervised Learning Algorithms.
As we may recall, Supervised Learning refers to the set of algorithms that uses training data comprising both of inputs and corresponding output to build a model that subsequently predicts the best output for future inputs.
In our previous blog, Supervised vs Unsupervised Learning, we learned that Machine Learning consists of algorithms that learn to solve a problem without expressly being provided step by step instructions by a human agent. Then we differentiated between two major categories of algorithms - Supervised Learning & Unsupervised Learning.