Supervised Learning with Scikit-Learn
Build and evaluate supervised learning models such as linear regression and classification.
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Supervised Learning with Scikit-Learn
Supervised learning involves training a model using labeled data to make predictions or classify data points. Scikit-learn is a popular Python library for implementing supervised learning models.
In this lesson, you’ll learn how to build and evaluate supervised learning models using Scikit-learn.
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What is Supervised Learning?
Supervised learning uses labeled data, where each input has a corresponding output. The goal is to learn a mapping from inputs to outputs.
Common tasks include:
- Regression: Predicting continuous values, e.g., house prices.
- Classification: Predicting categories, e.g., spam or not spam.