VishuML - Custom ML Library
A custom machine learning library built without external ML frameworks to deeply understand internals. Implements core algorithms for regression, classification, and clustering. Achieved prediction accuracy within 5-8% of scikit-learn equivalents on standard datasets. Install with: pip install vishuml.
Client / Type
Personal / Open Source
Stack / Services
Python, ML Algorithms, Regression, Classification, Clustering
Core ML Algorithms
Implemented core machine learning algorithms (regression, classification, clustering) without external ML frameworks to deeply understand internals. Achieved prediction accuracy within 5-8% of scikit-learn equivalents on standard datasets.
Modular APIs
Designed modular APIs enabling easy extension and experimentation with new models. The library is available on PyPI: pip install vishuml.
