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Nelle Varoquaux f25a4e7c4c Adding the links to the README 2 years ago
data cd3b30dcd4 First set of TD 3 years ago
01-PCA.ipynb 0649d02881 Small updates for recent versions of sklearn & seaborn 3 years ago
02-FeatureProcessing.ipynb 0649d02881 Small updates for recent versions of sklearn & seaborn 3 years ago
03-ProjectIntro.ipynb b31ce54bfd Last link 3 years ago
04-linear-and-logistic-regression.ipynb 05d8287f58 Adding new TD + reordering stuff 3 years ago
05-Regularization.ipynb b320e9391b Adding lab 5 3 years ago
06-TreesAndForests.ipynb 785d04a575 Adding the two new labs 2 years ago
07-NearestNeighbors.ipynb 785d04a575 Adding the two new labs 2 years ago
LICENSE 0649d02881 Small updates for recent versions of sklearn & seaborn 3 years ago
README.md f25a4e7c4c Adding the links to the README 2 years ago
environment.yml cde3fb5d74 Adding an environment.yml 3 years ago

README.md

Binder

hpc-ai-ml-2022

This repository holds the computer labs for the Introduction to Machine Learning course of the 2021-2022 HPC-AI MSc https://www.hpc-ai.mines-paristech.fr/

Requirements

The labs were developed for Python3. All required packages are part of the Anaconda platform so you can simply install Anaconda3 on your machine. If you'd rather install just the required packages with pip, that is also possible. The labs were developed for Python 3.4.3, with the following libraries:

  • numpy 1.16.5
  • scipy 1.2.2
  • matplotlib 2.2.4
  • pandas 0.22.0
  • seaborn 0.9.0
  • sklearn 0.19.2

To check your installation, try launching Jupyter (e.g. by typing jupyter noteboook in a shell), navigating to where you have downloaded/pulled the first lab (.ipynb file) and opening it. In that notebook (or in a python terminal), you should be able to run

  import sklearn
  import pandas
  import seaborn
  import matplotlib

Program

Acknowledgements

These notebooks are adapted from notebooks previously created with the help of Chloé-Agathe Azencott, Judith Abecassis, Joseph Boyd, Arthur Imber, Benoit Playe and Mihir.