What are the techniques used in supervised learning

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What are the techniques used in Machine Learning? Can you please explain with example? Thank you
May 10, 2019 in Machine Learning by Dipti
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There are two main techniques used in supervised learning:

Classification - A classification problem is when the output variable is a category, such as “red” or “blue” or “disease” and “no disease”. A classification model attempts to draw some conclusion from observed values.

Regression - A regression problem is when the output variable is a real or continuous value, such as “salary” or “weight”. Many different models can be used, the simplest is the linear regression. It tries to fit data with the best hyper-plane which goes through the points.

The difference between the two tasks is the fact that the dependent attribute is numerical for regression and categorical for classification.

answered May 10, 2019 by Kiran

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