introduction to machine learning notebooks for physics education researchers
-
Updated
Oct 6, 2022 - Jupyter Notebook
introduction to machine learning notebooks for physics education researchers
An introductory-level guide to social network analysis with the supporting R code.
This is a computational exercise for learning about silver nanoprisms and why their colour is related to their diameter. Runs in Google Colab and uses Python3. Designed for high school students.
Topic modeling of Indonesian PER literatures using latent Dirichlet allocation (LDA)
Siegert (or resonant) states with Python
Add a description, image, and links to the physics-education-research topic page so that developers can more easily learn about it.
To associate your repository with the physics-education-research topic, visit your repo's landing page and select "manage topics."