[Course][Udemy][Gourav Shah] Ultimate DevOps to MLOps Bootcamp - Build ML CI-CD Pipelines [ENG, 2025] : 03. Use Case and Environment Setup
Делаю:
2025.12.26
$ sudo apt install -y tree jq
$ mkdir -p ~/projects/courses/mlops
$ cd ~/projects/courses/mlops/
$ git clone git@github.com:webmakaka/house-price-predictor.git
// Run MLFLOW
$ cd house-price-predictor/deployment/mlflow/
$ docker compose up
// OK!
http://localhost:5555
// Setting up Python Virtual Environment with UV
$ curl -LsSf https://astral.sh/uv/install.sh | sh
$ cd ~/projects/courses/mlops/house-price-predictor/
$ uv venv --python python3.11
$ source .venv/bin/activate
$ uv pip install -r requirements.txt
$ code .
CTRL^P
ext install ms-python.python
ext install ms-toolsai.jupyter
В vscode
Run All -> notebooks\*.ipynb
В результате в MlFlow должны появиться эксперименты.