About this document
Week 2 Lab: Linear Regression Techniques by Juan Zarate is a document available to read on EtoBox.
This document describes a lab project on applying linear regression to regression and classification tasks. The purpose is to use linear regression to predict house prices using the Boston Housing dataset, and classify handwritten digits using the MNIST dataset. Both closed-form and iterative gradient descent methods are used to solve the linear regression problems. Experimental results show that gradient descent with different hyperparameters, such as learning rate and mini-batch size, can converge the sol
- Author
- Juan Zarate
- Language
- EN