MACHINE LEARNING TUTORIAL
What are Classification and Regression in ML?
Understanding the Basic Concepts of Supervised learning
ML is extracting data from knowledge.
Machine learning is a study of algorithms that uses a provides computers the ability to learn from the data and predict outcomes with accuracy, without being explicitly programmed. Machine learning is sub-branched into three categories- supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning
As the name “supervised learning” suggests, here learning is based through example. We have a known set of inputs (called features, x) and outputs (called labels, y ). The goal of the algorithm is to train the model on the given data and predict the correct value (y) for an unknown input (x). Supervised learning can be further classified into two categories- classification and regression.
Classification and regression are two basic concepts in supervised learning. However, understanding the difference between the two can be confusing and can lead to the implementation…
