Machine learning tutorials with reproducible code

Learn AI through detailed tutorials and hands-on projects

Kudos AI features original machine learning tutorials covering NLP, computer vision, time-series forecasting, and responsible AI. Every article includes the math, the intuition, and runnable code you can test immediately.

All notebooks are hosted on GitHub with one-click Google Colab launchers, so you can reproduce every experiment without any setup.

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Long-form guides that blend theory with practice. Each one includes math breakdowns, Python code, and links to the full notebook.

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What you'll find here

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Blog

In-depth tutorials on NLP, computer vision, forecasting, and responsible AI with diagrams and runnable code.

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Projects

Hands-on builds with datasets, architectures, and Colab launchers you can run immediately.

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Consulting

Need help with a machine learning project? Let's discuss how we can support your team.

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Featured projects

Notebooks on GitHub

Each project links to a GitHub repository and Google Colab notebook you can run immediately.

Reinforcement learning

Q-learning Tic-Tac-Toe bot and reward-tuning walkthroughs.

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Computer vision

SRGAN super-resolution and OpenCV face detection.

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Time-series forecasting

S&P 500 models and demographic forecasts with ARIMA/LSTM.

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NLP experiments

Multilingual T5 summarizer and Wikipedia-trained chatbot.

View NLP projects