Avik-Jain/100-Days-Of-ML-Code

Structured curriculum covering foundational ML algorithms (regression, classification, SVM, decision trees) paired with mathematical prerequisites via curated video resources and infographics. Includes hands-on implementations using scikit-learn and Python across supervised learning techniques, complemented by deep learning specialization coursework and theoretical foundations from university-level lectures. Progressively builds from data preprocessing fundamentals through advanced topics like kernel methods and neural networks, with accompanying datasets and code examples for each concept.

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