Setup

• using linux or wsl is recommended (from my experience btw)

• create a virtual enviornment using python (<3.11, >3.9)

  python3.11 -m venv venv

  or (using conda)

  conda create -n python==3.11 venv

• activate it

  source venv\bin\activate (linux)

• change the directory

  cd Used-Car-Price-Prediction-endToEnd

• install requiremnets.txt

  pip install -r requirements.txt

• Now for zenml use wsl or linux and run zenml init

• then zenml up

• for the default one run (in vs code)

  zenml connect --url=http://127.0.0.1:8237

• then run the pipeline

  python pipelines/training_pipeline.py

• for mlflow interactive ui

  mlflow ui