Python ML Pipeline
Builds machine learning pipelines with data preprocessing, model training, evaluation, and deployment.
About
This skill creates end-to-end machine learning workflows in Python. It handles data preprocessing with pandas and scikit-learn, feature engineering, model selection and hyperparameter tuning, experiment tracking with MLflow or Weights & Biases, and model serving with FastAPI or TensorFlow Serving. The skill follows MLOps best practices for reproducible, production-ready ML systems.
Installation
git clone https://github.com/sickn33/antigravity-awesome-skills ~/.gemini/skills/python-ml-pipelineOr install to ~/.antigravity/skills/python-ml-pipeline for Antigravity CLI.