In this video, we have covered the Support Vector Machine (SVM) technique in Machine Learning in detail.
The SVM is a supervised machine learning technique that can be used for classification as well as regression.

Classification: When the output variable is a category, such as "red" or "blue," or "disease" and "no disease,". From the observed values, the classification model tries to draw some conclusions.
Given one or more inputs a classification model will try to predict the value of one or more outcomes.

Regression: When the output variable is a real or continuous value, such as “salary” or “weight” then it is known as a regression problem. Many different models can be used the most basic of which being linear regression. It tries to fit data using the best hyper-plane that passes through the points.

SVM in Machine Learning: https://www.geeksforgeeks.org/support-vector-machine-algorithm/