{"id":16872979,"url":"https://github.com/vuillaut/info801","last_synced_at":"2026-04-09T02:02:42.083Z","repository":{"id":54238980,"uuid":"343579286","full_name":"vuillaut/info801","owner":"vuillaut","description":null,"archived":false,"fork":false,"pushed_at":"2022-04-06T15:47:08.000Z","size":41110,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-01-03T17:26:20.971Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# INFO801: Data Science course\n\n\nFrederic Gillardo    \nThomas Vuillaume   \n\ncontact us at firstname.name[at]lapp.in2p3.fr\n\n## Running online\n\n- [Google colab](https://colab.research.google.com/github/vuillaut/info801/)\n- [mybinder](https://mybinder.org/v2/gh/vuillaut/info801/HEAD)\n- [deepnote](https://deepnote.com/dashboard/INFO801/projects)\n\n\n## Courses content:\n\n### Course 0: Python and environment setup\nThese are reminders of prerequisite for this course\n\nPython basics:\n- https://jckantor.github.io/CBE30338/01.02-Python-Basics.html\n- https://www.kaggle.com/learn/python\n\nEnv. setup: \n- [conda](https://www.anaconda.com/products/individual)\n\nGit:\n- https://education.github.com/git-cheat-sheet-education.pdf\n\n\n### Course 1\n\n- [Introduction to data science](DataScience_intro.pptx)\n- [Introduction to Numpy](numpy)\n\n\n### Course 2\n\n- [Exercices with Numpy](numpy/Numpy_GalaxyMultiWaveLength.ipynb)\n- [Introduction to pandas](pandas/README.md)\n- Exercices with pandas\n\n\n### Course 3\n- [Exercices with pandas](pandas/Pandas_M1.ipynb)\n- Introduction to matplotlib and visualisation\n- Exercices with matplotlib\n- Visualisation with pandas\n\n\n### Course 4\n- [Introduction to machine learning](machine_learning/README.md)\n- Exercices with scikit-learn\n\n### Course 5\n- Machine learning #2\n- Exercices\n- [Practical work on a real case](Homework/README.md)\n\n### Course 6\n- Practical work on a real case\n- Getting scores for the real case\n- Introduction to git pull requests\n- Introduction to kaggle\n- Wrap-up, going further in data science\n\n# Course 7\n- Big tools for Big data\n\n\n### Homework\n- TP on exoplanets\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvuillaut%2Finfo801","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvuillaut%2Finfo801","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvuillaut%2Finfo801/lists"}