COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
Question
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Classification


Declassification


Progression


Regression

Detailed explanation1: For instance, if there is one independent and one dependent variable, it is known as simple linear regression. Meanwhile, if there are two or more independent and dependent variables, it is called multiple linear regression.
Detailed explanation2: There are two types of Supervised Learning techniques: Regression and Classification.
Detailed explanation3: There are two main types of supervised learning problems: they are classification that involves predicting a class label and regression that involves predicting a numerical value.
Detailed explanation4: Types of supervised Machine learning Algorithms: Linear Regression. Regression Trees. NonLinear Regression. Bayesian Linear Regression.
Detailed explanation5: There are primarily three types of machine learning: Supervised, Unsupervised, and Reinforcement Learning.