clone the repo
git clone https://github.com/ChanduKReddy99/LinearRegression_CarsDataSet.git
create new env & activate it.
conda create -p .env python=3.7 -y
conda activate .env/
create data dir and upload csv dataset (its not an ideal way to do it, but just experiment purpose)
mkdir data
create a requirements.txt file & install the required libraries
touch requirements.txt
pip install -r requirements.txt
install jupyter notebook
pip install jupyter notebook
add & commit the changes
git add . && git commit -m "first commit"
push the changes
git push -u origin main