Case study
DimSense — feature engineering library.
Open-source Python toolkit for feature selection and dimensionality reduction.
Problem
Data scientists need accessible feature engineering and dimensionality reduction tools in one Python workflow.
Role
Built and released the open-source Python library, covering common selection and extraction methods.
Stack
Python, PCA, RFE, autoencoders, Lasso, FastICA and open-source packaging.
Impact
- Adopted by 6,000+ PyPI users.
- Contributed to by the open-source community.