// the find
dataprofessor/data
Data Sets for Machine Learning Practice
A flat collection of CSV files used in YouTube tutorials by the dataprofessor channel. It exists purely as a companion to those videos — there is no standalone reason to use this over any other dataset source.
- Covers a decent spread of domains: bioinformatics (DHFR, acetylcholinesterase, HCV), housing prices, sports, and classic classification benchmarks — enough variety to follow along with different tutorial types
- The bioactivity datasets (acetylcholinesterase series) include multiple preprocessing stages as separate files, which is actually useful for understanding a real cheminformatics pipeline step by step
- Files are plain CSV with no tooling required — just download and load
- The README documents only 3 of the ~40 files; everything else is undescribed, unsourced, and you have to guess what it contains from the filename
- Boston Housing is included despite being retired from scikit-learn in 2023 due to the ethically problematic racial variable — no note, no alternative suggested
- This is not a real dataset repository — it is a tutorial asset dump. No versioning, no data dictionaries, no train/test split rationale. Fork count (346) reflects people cloning it to follow a video, not people finding it independently useful
- No license information anywhere, which matters if you want to use these in anything beyond personal practice