Topic 1 Question 7
You are creating a model to predict housing prices. Due to budget constraints, you must run it on a single resource-constrained virtual machine. Which learning algorithm should you use?
Linear regression
Logistic classification
Recurrent neural network
Feedforward neural network
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Correct answer is A. A tip here to decide when a liner regression should be used or logistics regression needs to be used. If you are forecasting that is the values in the column that you are predicting is numeric, it is always liner regression. If you are classifying, that is buy or no buy, yes or no, you will be using logistics regression.
👍 45Radhika79832020/10/27Answer: A Description: Forecasting and Liner regression is used for predicting housing price
👍 9[Removed]2020/03/26correct answer -> Linear Regression
Linear regression is a statistical method that allows to summarize and study relationships between two continuous (quantitative) variables: One variable, denoted X, is regarded as the independent variable. The other variable denoted y is regarded as the dependent variable. Linear regression uses one independent variable X to explain or predict the outcome of the dependent variable y.
Whenever you are told to predict some future value of a process which is currently running, you can go with a regression algorithm.
👍 4samdhimal2022/01/22
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