This repository contains the code for the mini-workshop introducing the world of ML and in particular Recommender Systems. The workshop is organized by the Munich Center for Machine Learning (MCML) and aims to provide an interactive introduction to the topic. The target audience are high school students with a strong interest in computer science and machine learning. However no prior knowledge is required to participate in the workshop. This repository contains the code for the interactive code based part of the workshop.
If you are interested in organizing a similar workshop, feel free to use the material provided here but please make sure to give proper credit. Also, feel free to reach out to me if you have any questions or are interested in the slides or additional material.
A link to the read2use streamlit app can be found HERE.
- Create a virtual environment and activate it.
python3 -m venv .venv
source .venv/bin/activate- Install the required packages using
poetry(install it if you haven't already):
poetry install- Run streamlit app locally from your top level directory:
streamlit run 1_🤖_Recommender.pyHave fun! 🚀
If you have any suggestions, ideas or improvements, feel free to open an issue or create a pull request. I'd be happy if the workshop material could be improved and extended. Especially easy deployment guides and utilities for the streamlit app would be a nice addition.