Generate ML pipeline code with scikit-learn
Generate ML pipelines: 1. Create data preprocessing steps 2. Implement feature engineering 3. Generate model training code 4. Add cross-validation 5. Create evaluation metrics 6. Implement model serialization 7. Add logging and monitoring 8. Generate documentation
Optimized rules for Google Gemini Code Assist with context management and code generation preferences.
System instructions for Gemini to excel at React and TypeScript development.
Generate configuration handling code
Gemini
data-science
AI coding rules customize how Gemini generates and refactors code for your project. Follow these steps to install Gemini Machine Learning Pipelines.
.cursor/rules, for Windsurf use .windsurfrules