mdipietro09/DataScience_ArtificialIntelligence_Utils

Covers five core ML/AI domains—classification, regression, clustering, recommendation systems, time series forecasting, NLP (text classification, summarization, knowledge graphs), and computer vision (image classification, object detection, OCR)—with Jupyter notebook implementations. Built with Python and scikit-learn/deep learning frameworks, each example demonstrates end-to-end workflows from data preprocessing through model evaluation. Notebooks are self-contained tutorials complemented by Medium articles, enabling practitioners to understand both theory and practical implementation patterns.

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