What are some practical use cases for scikit-learn?

What are some practical use cases for scikit-learn?

Scikit-learn is widely used for tasks like classification, regression, clustering, and dimensionality reduction. For example, it can be used in spam detection, customer segmentation, and predicting house prices.

Can you give me an example of a classification problem?

Sure! A common classification problem is email spam detection, where the model classifies emails as 'spam' or 'not spam' based on features like the subject line and content.

What about regression? How is it used?

In regression, scikit-learn can be used to predict continuous values. For instance, predicting the price of a house based on features like size, location, and number of bedrooms.

Are there any clustering use cases?

Yes! Clustering can be used for customer segmentation in marketing, where businesses group customers based on purchasing behavior.