This is the repo planned to contain notes from ML related meetups.
As usual, you should be using either a virtual environment or Docker container.
If you want to use a virtual environment, you can follow the below steps:
python -m venv venv
source venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -r requirements.txt
python -m jupyter notebookpython -m venv venv
.\venv\Scripts\activate.bat
% .\venv\Scripts\activate.ps1 if you're on PowerShell
python -m pip install --upgrade pip
python -m pip install -r requirements.txt
python -m jupyter notebook
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221105: Optimization algorithms
https://github.com/CodeSeoul/machine-learning/tree/master/221105-optimization -
221119: Vanilla GAN
https://github.com/CodeSeoul/machine-learning/tree/master/221119-gan -
221202: Classification with MNIST
https://github.com/CodeSeoul/machine-learning/tree/master/221202-classification -
221210: Dimensionality reduction techniques: Part 1
https://github.com/CodeSeoul/machine-learning/blob/master/221210-pca -
230114: Linear Regression https://github.com/CodeSeoul/machine-learning/tree/master/230114-linear-regression
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230211: Intro to Numpy (Parts 1 and 2) https://github.com/CodeSeoul/machine-learning/tree/master/230211_intro_to_numpy
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230520: Intro to Model Inference Optimization (Part 1) https://github.com/CodeSeoul/machine-learning/tree/master/230520-inference-p1