// the find
dataprofessor/code
Compilation of R and Python programming codes on the Data Professor YouTube channel.
A companion repo to the Data Professor YouTube channel, collecting R scripts and Python notebooks used in tutorial videos. It covers EDA, classification, Shiny apps, and Streamlit dashboards — aimed at beginners learning data science through worked examples.
The cheminformatics notebooks (acetylcholinesterase bioactivity, solubility prediction) are a genuinely uncommon combination of domain knowledge and ML that you won't find in most beginner repos. The Streamlit examples span real data sources like S&P 500, crypto prices, and NBA stats, making them more interesting than the usual iris-forever tutorials. R and Python content coexist with a few cross-language examples using reticulate, which is useful if you're bridging the two ecosystems.
This is a content dump, not a library — no shared utilities, no consistent project structure, and many notebooks are clearly meant to be watched alongside a video rather than read standalone. Several folders (dhfr, iris) have the same README description, which is a copy-paste error that's been sitting there long enough to become permanent. The Streamlit and pandas notebooks pull from external data sources that have already started to rot (the S&P 500 scraper likely breaks periodically). Last meaningful activity looks like 2021–2022 for most of the core content; the January 2026 push was probably a metadata update.