shashipal95 / multiple-linear-regression-from-scratch

Multiple variable linear regression and PCA from scratch using Pytorch.

Multi-Variable-Linear-Regression-on-CarDekho

Objective

The goal of this project is to explain how linear regression works on multiple variables. The solution will be implemented from scratch using PyTorch.

Blog Post

The experiment can be found in this post.

Dataset

The CarDekho dataset contains information about used cars listed on the website of the same name. This dataset has 301 unique entities with the following features:

• car name
• year of release
• selling price
• present price
• kilometers driven
• fuel: such as petrol or diesel
• transmission: such as manual or automatic
• owner: how many times the car changed owner

Setup

In order to install the conda environment needed to run the notebook, run the following line:

conda env create --file requirements.yml
conda activate torch