1 مستودع
Processes that transform raw data into numerical vector or matrix representations.
Distinct from Matrix and Vector Construction: No candidates cover the specific process of converting text or images into matrices for ML distance algorithms.
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This project is a collection of supervised and unsupervised machine learning algorithms implemented from scratch using Python. It serves as an educational resource for studying model training, parameter optimization, and the implementation of core predictive models. The library provides a variety of supervised learning tools, including linear and logistic regression, decision trees, and support vector machines. It also features unsupervised learning capabilities for discovering patterns in unlabeled datasets through clustering algorithms. Broad capability areas include ensemble learning thro
Provides symmetric-matrix feature vectorization for transforming raw text and images into numerical formats.