Modeling and Regression - Intro to Data Science

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10 Terms

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Regression

With known numerical outcomes, can we predict outcomes for data

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Classification

With known groups, how can we classify new data

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Dimensionality Reduction

Can I capture the patterns in my data with fewer dimensions

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Clustering

Are there meaningful groups in the data

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Supervised Data

Type of data where each input is paired with a corresponding output label

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Unsupervised Data

Type of data where inputs do not have corresponding output labels

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Model

Simplified representation of reality

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Observations

Feature (x) and target (y) values

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Predictions

Target (y) values calculated using regression equation

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Ordinary Least Squares

Method to solve for parameters in the regression equation by using observations we have. Minimizes the sum of squared errors