Modeling and Regression - Intro to Data Science

Regression

Regression

With known numerical outcomes, can we predict outcomes for data

Classification

With known groups, how can we classify new data

Dimensionality Reduction

Can I capture the patterns in my data with fewer dimensions

Clustering

Are there meaningful groups in the data

Supervised Data

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

Unsupervised Data

Type of data where inputs do not have corresponding output labels

Model

Simplified representation of reality

Observations

Feature (x) and target (y) values

Predictions

Target (y) values calculated using regression equation

Ordinary Least Squares

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