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Jupyter notebooks

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About Project Jupyter · from Wikipedia

Project Jupyter is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages.

Summary from Wikipedia ↗, CC BY-SA 4.0.
  • Intro to DBSCAN Mar 2026
    It pairs derivations and documentation with twelve Jupyter notebooks and a from-scratch implementation in Python.
  • Deep reinforcement learning May 2025Deep reinforcement-learning notebook.
  • Intro to machine learning Dec 2024
    Each Jupyter notebook covers one preprocessing technique in Python: filling in missing values (imputation); one-hot encoding and label encoding of categories; normalisation and standardisation of numbers; discretisation, turning numbers into bins.
  • Handwritten digit OCR Oct 2024
    Handwritten digit OCR is a set of Jupyter notebooks that train convolutional neural networks to recognise handwritten digits.
  • COVID-19 in US counties Oct 2023
    The analysis is a series of Jupyter notebooks: cleaning the data, exploring it and visualising it.
  • CS203 playground Oct 2023
    It holds exercises in analysing, cleaning and visualising data, as Jupyter notebooks and a Python source package, with tests, a Pylint configuration and a documented set-up.
  • Kaggle on Colab Sep 2023
    Kaggle on Colab is a short tutorial, with a Jupyter notebook and screenshots, on using Kaggle datasets inside Google Colab.
2023202420252026COVID-19 in US countiesCS203 playgroundDeep reinforcement learningHandwritten digit OCRIntro to DBSCANIntro to machine learningKaggle on Colab