When should I use classification or regression in machine learning?
An example of an AI chatbot conversation about choosing between classification and regression in ML.
Can you explain when to use classification versus regression in machine learning?
Sure! Use classification when your output is a category, like 'spam' or 'not spam'. Use regression for continuous outputs, like predicting prices.
What are some examples of classification problems?
Examples include email filtering, image recognition, and sentiment analysis.
And what about regression? Can you give me some examples?
Regression examples include predicting house prices, stock prices, or temperature forecasting.
How do I choose between the two for my project?
Identify your target variable: if it's categorical, go for classification; if it's numerical, choose regression.
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