To create the virtual environment and install required libraries, use commands:
python -m venv venv
source venv/Scripts/activate # windows OS
source venv/bin/activate # linux/mac OS
pip install -r requirments.txt
Or simply run create_env.sh
:
./create_env.sh
We're pulling data from UCI Irvine Machine Learning Repositories, here.
cool_code.py
downloads and extracts the dataset on first run.