About this document
Linear Regression Basics and Model Fitting by shruthikagudem is a document available to read on EtoBox.
This document discusses linear regression for predicting numerical values like house prices from features like size and age. It describes the linear model, which represents the target as a weighted sum of the features plus a bias term. The goal is to choose weights and bias to minimize a loss function, typically mean squared error, which measures how far predictions are from true values.
- Author
- shruthikagudem
- Language
- EN