APPLICATION OF SUPERVISED LEARNING
SUPERVISED AND UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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You own a company that produces mobile phones. You keep track of how many mobile phones you have sold before.You want to predict how many mobile phones you will sell over the next 3 months. Is this a regression problem or a classification problem?
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This is a regression problem
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This is a classification problem
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -Some of the most common algorithms used in unsupervised learning include: (1) Clustering, (2) Anomaly detection, (3) Approaches for learning latent variable models. Each approach uses several methods as follows: Clustering methods include: hierarchical clustering, k-means, mixture models, DBSCAN, and OPTICS algorithm.
Detailed explanation-2: -With a simple linear regression, we can find dependency between the number of sales (dependent variable) and the storage temperature of an ice cream (independent variable).
There is 1 question to complete.