Included:
- Pandas
- Numpy
- Sklearn
- Pydataset
- Prettyprinter
- Pandas-Profiler
To get started locally make sure to install poetry and Python 3.7.
poetry install
poetry run python src/main/main.py
To get started with Docker (easy):
docker build -t ml .
docker run -it ml:latest bash
python run src/main/main.py
I recommend using Kite in VSCode as it greatly speeds up ML programming.
Pandas Profiler is one of the hidden gems which gives you a dashboard with some basis dataset stats, a html report will automatically be generated in your root folder:
