Debugging a model or data science project involves following a systematic approach to identify and fix issues at each stage of the pipeline, starting with the data loaders and ending with the outputs.
Regression is a supervised learning algorithm used to predict continuous or real-valued outputs for given inputs, and is widely applied in a variety of fields to make accurate predictions.