introduction to machine learning notebooks for physics education researchers
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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)
A shiny application of using machine learning to predict high school physics learning outcome. Also we utilized item response theory (IRT) to conduct feature selection and genetic algorithm (GA) to optimize the hyperparameters.
Siegert (or resonant) states with Python
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