#data science

'A practical tutorial showing how to build a robust ML pipeline for the diabetes dataset, evaluate and interpret it with permutation importance and PDP, and use Gemini as an AI collaborator for summaries, risks, and EDA snippets.'

Learn how to build a smart Python-to-R code converter enhanced with Google's Gemini AI for validation and improvement suggestions, streamlining code translation with AI-powered feedback.

This tutorial guides you through building and analyzing a complex Alzheimer's disease knowledge graph using PyBEL within Google Colab, including advanced network metrics and visualization.