https://github.com/vuillaut/info801

https://github.com/vuillaut/info801

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/vuillaut/info801
• Owner: vuillaut
• License: mit
• Created: 2021-03-01T22:51:16.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-04-06T15:47:08.000Z (over 2 years ago)
• Last Synced: 2024-10-14T15:18:27.018Z (2 months ago)
• Language: Jupyter Notebook
• Size: 39.2 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# INFO801: Data Science course

Frederic Gillardo    

Thomas Vuillaume   

contact us at firstname.name[at]lapp.in2p3.fr

## Running online

- [Google colab](https://colab.research.google.com/github/vuillaut/info801/)

- [mybinder](https://mybinder.org/v2/gh/vuillaut/info801/HEAD)

- [deepnote](https://deepnote.com/dashboard/INFO801/projects)

## Courses content:

### Course 0: Python and environment setup

These are reminders of prerequisite for this course

Python basics:

- https://jckantor.github.io/CBE30338/01.02-Python-Basics.html

- https://www.kaggle.com/learn/python

Env. setup: 

- [conda](https://www.anaconda.com/products/individual)

Git:

- https://education.github.com/git-cheat-sheet-education.pdf

### Course 1

- [Introduction to data science](DataScience_intro.pptx)

- [Introduction to Numpy](numpy)

### Course 2

- [Exercices with Numpy](numpy/Numpy_GalaxyMultiWaveLength.ipynb)

- [Introduction to pandas](pandas/README.md)

- Exercices with pandas

### Course 3

- [Exercices with pandas](pandas/Pandas_M1.ipynb)

- Introduction to matplotlib and visualisation

- Exercices with matplotlib

- Visualisation with pandas

### Course 4

- [Introduction to machine learning](machine_learning/README.md)

- Exercices with scikit-learn

### Course 5

- Machine learning #2

- Exercices

- [Practical work on a real case](Homework/README.md)

### Course 6

- Practical work on a real case

- Getting scores for the real case

- Introduction to git pull requests

- Introduction to kaggle

- Wrap-up, going further in data science

# Course 7

- Big tools for Big data

### Homework

- TP on exoplanets