This project is to help students and researchers to learn the theory of medical image registration in a simple and practical way. I will try to explain the math using simple language and python code. The tutorials are python notebook based that you can run directly in Google colab. Your correction, feedback, and support are more than welcome!

This jupyter notebook walks you through taking a symptom code and looking for the diagnosis in a neo4j knowledge graph. Then outputs link to merck manual.

The jupyter notebook provides a demostration from downloading data with data.gov.hk APIs and doing classification with Random Forest Classifier, Gradient Boosting Classifier and Decision Tree from scratch.