What are some basic learning algorithms I should know?
Some basic learning algorithms include linear regression, decision trees, and k-nearest neighbors. Would you like to know more about any of these?
Can you explain linear regression?
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It predicts outcomes based on a linear equation.
What is a decision tree?
A decision tree is a flowchart-like structure used for classification and regression. It splits data into branches to make decisions based on feature values.
How does k-nearest neighbors work?
K-nearest neighbors (KNN) is a simple algorithm that classifies data points based on the classes of their nearest neighbors in the feature space.
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