One-Hot Encoding is a technique used in machine learning to represent categorical data as binary vectors. It is particularly useful when working with algorithms that require numerical input, as it ...
This Python script demonstrates the use of linear regression with OneHotEncoder for predicting housing prices. The script utilizes the HousingDB dataset, containing housing-related features such as ...