ADD: include scikit-learn in requirements for model training dependencies

ADD: copy model directory to Docker image for access during runtime

ADD: add model.pkl file for storing trained model artifacts

FIX: update Dockerfile to correct API source path and CMD reference

ADD: create __init__.py for API package initialization

FIX: correct CMD in Dockerfile to reference the proper FastAPI app module and remove empty __init__.py file

FIX: update CMD in Dockerfile to reference the correct FastAPI app module

ADD: create __init__.py for API package initialization

ADD: create notebook to test API requests on Hugging Face Space

ADD: implement FastAPI application with prediction service and request/response models

MOD: improving training notebook

ADD: include mlartifacts in .gitignore

MOD: change exposed port and CMD

ADD: create Dockerfile for FastAPI application setup

ADD: update .gitignore to include venv and __pycache__ directories

ADD: implement FastAPI application with root endpoint and requirements

ADD: notebooks

ADD: create .gitignore and requirements.txt files

ADD: logistics data file

initial commit