[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.