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Fork of a repository https://github.com/ufal/npfl129/tree/master used for teaching class Introduction to Machine Learning in Python at Faculty of Math and Physics of Charles University in Prague. Repository contains my solutions to homework assignments.
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  • Jupyter Notebook 89.8%
  • Python 8.5%
  • Nix 0.7%
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  • HTML 0.4%
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Jaroš Matěj 3d692916fa Update README
2026-10-09 20:38:13 +02:00
.github Create a pull request template for NPFL129. 2025-10-06 22:06:54 +02:00
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.gitignore Change managment of nix-packages from shell.nix to devenv 2026-10-09 20:38:13 +02:00
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README.md Update README 2026-10-09 20:38:13 +02:00

README.md

This repository is a fork of a repository mentioned below. It contains lecture notes and other stuff important for the class. On top of that it contains my solutions of assignments from this class.

Machine Learning for Greenhorns – ÚFAL Course NPFL129

This repository contains materials to the Machine Learning for Greenhorns (ÚFAL course NPFL129).

All created content is available under CC BY-SA 4.0 license, while all existing materials (mostly images and excerpts from papers) are properly referenced and are subject to original licensing.

Dependency management with Nix

This project uses devenv so this must be installed. To install dependencies, run:

devenv shell

After dependencies are installed, run:

devenv up

To start server for Jupyter notebooks. This local server then may be used to view Jupyter notebooks from browser or even in IDEs like Pycharm. After running devenv up a URL pointing to localhost should be displayed, open it in browser. If you wish to use it to run Jupyter notebooks in Pycharm, open a Jupyter notebook, in top right corner click on Jupyter server, click on Configure Jupyter Server, a window pops up, Add a new server configuration - external server, copy the displayed URL into field Server URL.