Advanced Prompt Engineering for Data Science Projects

Prompt engineering techniques can significantly enhance data science workflows, particularly for feature engineering, modeling, and evaluation. The guide provides structured prompt templates for generating features from text, tabular, and time-series data using large language models. It also explores how to use prompts for model selection, pipeline code generation, and integrating with AutoML tools like LLM-FE and Azure's Prompt Flow. These methods help data scientists iterate faster, automate repetitive tasks, and improve the overall quality of their machine learning projects.