Project
DataScienceProject - ML fundamentals practice
Hands-on ML-fundamentals scaffold: logistic regression from scratch, clustering, stats notebooks.
- Role
- Sole author (learning)
- Repository
- github.com/jkarancs/DataScienceProject
- Python
- uv
- NumPy
- Jupyter
A uv-managed learning scaffold for classic ML: logistic regression from scratch on the cat/non-cat HDF5 dataset (Andrew Ng style), K-means/GMM clustering starters, a descriptive-stats notebook (CardioGoodFitness), and stubs for decision trees, random forests, PCA, and time series. Honest framing: a fundamentals-practice repo evidencing learning-by-reimplementation, not a finished product.