Machine learning

Description

This is the repo planned to contain notes from ML related meetups.

Setup

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:

MacOS / Linux

python -m venv venv
source venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -r requirements.txt
python -m jupyter notebook

Windows

python -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

Meetups

• 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

• 230211: Intro to Numpy (Parts 1 and 2) https://github.com/CodeSeoul/machine-learning/tree/master/230211_intro_to_numpy

• 230520: Intro to Model Inference Optimization (Part 1) https://github.com/CodeSeoul/machine-learning/tree/master/230520-inference-p1