Top AI prompts for data science. ML pipelines, notebooks, analysis
13 prompts— sorted by community rating
Generate a JSON Schema from sample data. Infers types, required fields, patterns, and constraints. Ready for API validation or documentation.
Describe what you want to match in plain English and get a working regex pattern with explanation, test cases, and common variations.
Build a semantic code search engine using embeddings. Search by intent ('function that validates email') rather than exact text matches.
Advanced code generation prompt. Machine Learning Model with customizable parameters for professional results.
Advanced code generation prompt. Fine-Tuning Data Prep with customizable parameters for professional results.
Describe what data you need in plain English and get a working SQL query. Supports joins, aggregations, window functions, and CTEs.
Intermediate code generation prompt. Python Data Pipeline with customizable parameters for professional results.
Build a Retrieval-Augmented Generation pipeline with hybrid search (vector + keyword) and a reranking step for higher precision answers.
Clean, transform, and restructure messy CSV data. Handle missing values, standardize formats, merge columns, and output clean structured data.
Craft python web scraper with this structured code prompt. Adjustable variables let you fine-tune the output.
A advanced-level code prompt for creating mongodb aggregation pipeline. Fill in the variables to customize the output for your specific needs.
Craft rag pipeline with this structured code prompt. Adjustable variables let you fine-tune the output.
Advanced code generation prompt. Vector Embedding Service with customizable parameters for professional results.