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All Projects → ginevracoal → statistical-machine-learning

ginevracoal / statistical-machine-learning

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Probabilistic Machine Learning course lab @Units

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Jupyter Notebook
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machine-learningtutorialprobabilistic-graphical-models

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Probabilistic/Statistical Machine Learning

Please use the dedicated forum on moodle for questions on theory and exercises.

If you notice some errors in the notebooks/homeworks contact me at: [email protected] (name=ginevra.carbone)

Utils

Linux Setup

Python version: 3.6.9

Download, clone or fork (your choice) this repository in a directory PATH_TO_DIR/.

Create a virtual environment using python3 (commands are provided for Debian-like GNU/Linux distributions)

sudo apt install -y python3-venv
cd PATH_TO_DIR/statistical-machine-learning/
python3.6 -m venv venv

Now you should see PATH_TO_DIR/statistical-machine-learning/venv/ folder. Activate the enviroment and install the requirements:

source venv/bin/activate
pip install -r basic_requirements.txt

Register the just-installed virtual environment for use with Jupyter:

python3 -m ipykernel install --user --name statistical-machine-learning --display-name "Python (SML virtualenv)"

Open your notebooks using jupyter-notebook (or jupyter-lab):

python3 -m jupyter notebook

To deactivate the environment use source deactivate command.

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