About this document
Implementing Linear Regression in Python by g48552392 is a document available to read on EtoBox.
The document outlines an experiment to implement Linear Regression using Python, focusing on the relationship between independent and dependent variables. It details the required software, theoretical background, and algorithmic steps for executing the regression model. The goal is to minimize the sum of squared errors to find the best-fitting line or hyperplane.
- Author
- g48552392
- Language
- EN