classification and regression
Classification is a technique in machine learning that helps to categorize different data points into different classes based on their similar features or attributes. It is used to solve problems with discrete outputs, such as predicting whether an email is a spam or not. Regression, on the other hand, is a technique that helps to estimate or predict a continuous output value based on the input data. It is used to solve problems with continuous outputs, such as predicting the price of a house based on its size and location.
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