#machine learning pipeline

'A practical tutorial showing how to combine LangChain tools with XGBoost to create an interactive end-to-end ML pipeline that generates data, trains a model, evaluates performance, and visualizes insights.'

This tutorial details building an AI agent that writes, executes, and validates Python code live using LangChain and Anthropic Claude API, enabling robust computational workflows with automated correctness checks.