Regression

Regression methods are ways to use machine learning, mathematics, and statistics to find relationships between things. The goal is to make numerical predictions, such as estimating the price of something or forecasting a future value.

For example, imagine you want to predict the price of a house. To do this, you can use information such as the size of the house, the number of rooms, and whether it is well-located. With this data, regression methods help calculate the most likely value of the house.

Regression methods include:

• KNN: Makes predictions based on the average or weighted values of the nearest neighbors.

• Linear regression: Models a linear relationship between the input variables and the target variable.

• Ridge regression: Variant of linear regression that adds penalties to prevent overfitting.