COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Identify the problem:We have information of all houses in a particular area like size, type and design of house, locality, colour, previous purchase etc. on the basis of these data we have to find the price of a particular house.
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Classification
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Regression
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Clustering
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Prbabilistic
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Explanation:
Detailed explanation-1: -Machine Learning from Scratch series: Smart Discounts with Logistic Regression. Predicting House Prices with Linear Regression.
Detailed explanation-2: -Machine Learning: Regression-predict house price (lesson 2)
Detailed explanation-3: -This problem involves predicting the prices of the houses which are continuous and real valued outputs. Thus, this is a Regression Problem.
Detailed explanation-4: -House price prediction can help the developer determine the selling price of a house and can help the customer to arrange the right time to purchase a house. There are three factors that influence the price of a house which include physical conditions, concept and location.
There is 1 question to complete.