COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Classification
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Regression
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Clustering
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None of the above
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Detailed explanation-1: -Problem Statement Can we predict whether it will rain tomorrow or not using data? Solution: Classification model (Logistics Regression) using Machine Learning can be used for forecasting whether it will rain tomorrow or not.
Detailed explanation-2: -Naïve Bayes example code The below example code is to predict whether the person has diabetes or not. In order to predict that we have made use of Gaussian Naïve Bayes algorithm and also to detect the accuracy of our model.
Detailed explanation-3: -Explanation. Regression is appropriate when we are trying to predict a continuous-valued output, since as the price of a stock (similar to the housing prices example in the lectures).
Detailed explanation-4: -Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence. It is defined by its use of labeled datasets to train algorithms that to classify data or predict outcomes accurately.