Linear Regression, Gradient Descent, Model Regularization
This article breaks down the topic of linear models for regression deductively, covering the most basic approach to the underlying mathematics. Alternative types of core techniques are explained mathematically and codes are implemented. In short, it is aimed to design the optimum linear model that can be created specifically for a project. The article is supported by examples and aims to create their approaches to the subject, regardless of their level of knowledge.
Table of Contents (TOC)
----Linear Regression
--Mean Square Error…