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My teaching materials for the course "Algorithms for Machine Learning". It contains lecture slides and Jupyter notebooks for practical sessions.

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tca19/data-analysis

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data-analysis

Installation

Update the pip3 tool :

sudo pip3 install --upgrade pip --proxy=https://cache.univ-st-etienne.fr:3128

Install the required Python3 packages :

sudo pip3 install --upgrade ipython numpy pandas matplotlib scipy scikit-learn jupyter --proxy=https://cache.univ-st-etienne.fr:3128

Install TK for Python 3 (used by Matplotlib) :

sudo apt install python3-tk

If you had installed the packages with something else than pip3 (like Anaconda), make sure your packages meet these requirements :

  • ipython (7.8+)
  • numpy (1.17+)
  • pandas (0.25+)
  • matplotlib (3.1+)
  • scipy (1.3.1+)
  • scikit-learn (0.21+)
  • jupyter

Instructions

In a terminal, type:

$ git clone https://github.com/tca19/data-analysis.git
$ cd data-analysis/
$ jupyter notebook

Your web browser should open. Select the corresponding session folder and complete the .ipynb file.

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My teaching materials for the course "Algorithms for Machine Learning". It contains lecture slides and Jupyter notebooks for practical sessions.

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