What are the different types of supervised learning?
Supervised learning is mainly categorized into two types: classification and regression. Would you like to know more about each?
Yes, please explain classification.
Classification is used when the output variable is a category, like 'spam' or 'not spam'. It predicts discrete labels.
And what about regression?
Regression is used when the output variable is a continuous value, such as predicting house prices based on features.
Can you give examples of algorithms used in each type?
Sure! For classification, algorithms like Decision Trees and Support Vector Machines are common. For regression, Linear Regression and Random Forest are popular.
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