Linear regression from scratch using Pytorch.
The purpose of this repository is to implement linear regression from scratch in Pytorch.
We will see how this method works on real-world data.
The blog post explaining the work of this repository can be found here.
The dataset used for this experiment can be found in the data folder.
The Swedich Auto Insurance dataset contains:
In order to install the conda environment needed to run the notebook, run the following line:
conda env create --file requirements.ymlconda activate torch