Linear Regression Model
Most widely used learning algorithm in the world today. It just means fitting a straight line to your data. An example real-world problem is house sizes and prices.
Regression models predict numbers. Linear regression models are just one type of model.
ML Terminology
- Training Set: Data used to train the model
- x: “input” variable. Also known as “feature”
- y: “output” variable. Also known as “target”
- m: Total number of training examples
- (x, y): Single training example
- x1: The first training examples input
- y1: The first training examples output
