Python to AI — Interactive Learning Platform

A free, self-hostable tutorial platform taking you from Python basics to advanced AI — with live in-browser ML model demos powered by ONNX Runtime Web. No server required; everything runs in your browser.

Live: ikathuria.github.io/python-to-ai

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Learning Path

#	Module	Topics	Demo
0	Python Basics	Data types, structures, functions, OOP	—
1	ML Basics	NumPy, Pandas, data preprocessing	—
2	Supervised Learning	Classification, regression, KNN, Decision Trees	Live prediction demo
3	Unsupervised Learning	K-Means clustering, PCA	Cluster assignment demo
4	Recommendation Systems	Content-based & collaborative filtering	—
5	Deep Learning	PyTorch, backprop, IrisNet	—
6	Computer Vision	CNNs, convolution, image classification	🎨 Colour classifier (ONNX)
7	Time Series	Stationarity, ARIMA, LSTM forecasting	—
8	NLP	Word2Vec, PMI, language models	—

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Features

• Live ONNX demos — 9 trained models run entirely in the browser (no server, no Python needed)
• Interactive quizzes — 3 knowledge-check questions per topic with instant feedback
• Copy buttons — one-click copy on every code block
• "Try it yourself" — collapsible hints for hands-on exercises
• Mobile responsive — hamburger nav, stacked layouts on small screens

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Tech Stack

Layer	Choice
Frontend	Vanilla HTML/CSS/JS + Tailwind CDN
Model inference	onnxruntime-web (runs in browser)
Syntax highlighting	Highlight.js
Hosting	GitHub Pages (free, always-on)

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Running Locally

git clone https://github.com/ikathuria/python-to-ai.git
cd python-to-ai
python -m http.server 8000
# open http://localhost:8000

No build step, no Node.js, no dependencies needed to view the site.

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Re-training / Exporting Models

The ONNX models in app/onnx_models/ were exported from the Jupyter notebooks in the repo root. To retrain the colour CNN:

pip install torch torchvision onnx onnxsim pillow numpy
python scripts/export_colour_cnn.py

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For more tutorials

• Articles on Medium
• GitHub Wiki