COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Supervised Learning divided into two model
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Classification
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K-Means Clustering
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Regression
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DBSCAN
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Explanation:
Detailed explanation-1: -Supervised learning can be separated into two types of problems when data mining-classification and regression: Classification uses an algorithm to accurately assign test data into specific categories.
Detailed explanation-2: -There are two types of Supervised Learning techniques: Regression and Classification.
Detailed explanation-3: -Regression is another type of supervised learning method that uses an algorithm to understand the relationship between dependent and independent variables. Regression models are helpful for predicting numerical values based on different data points, such as sales revenue projections for a given business.
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