An interactive playground to draw your own 2D dataset and visually explore how machine learning classifiers work – in real-time and right inside a Jupyter Notebook!

This project uses the drawdata Python library, which allows you to draw any 2D dataset by hand directly in a notebook using your mouse.

As you draw, you can choose from a list of classifiers (Logistic Regression, SVM, Random Forest, KNN, Decision Tree, Naive Bayes, XGBoost, AdaBoost) and instantly see how the decision boundary changes based on the data!

Perfect for:

• ML beginners 🐣
• Teaching & learning machine learning intuitively 👨‍🏫
• Understanding model behavior visually 🧠

• Fully interactive 2D data drawing tool
• Real-time updates to decision boundaries as data changes
• Supports multiple classification models:
  • Logistic Regression
  • Support Vector Machines (poly & rbf)
  • K-Nearest Neighbors
  • Decision Tree
  • Random Forest
  • Naive Bayes
  • AdaBoost
  • XGBoost
• Clean UI with ipywidgets
• No setup required beyond installing the dependencies