A portfolio of ten machine learning / deep learning projects from the early 2022. Implementaion of foundational algorithms of the classic optimization algortihms (linear, logistic regressions) text and image processing (TF-IDF, Naive-Bayes, landmark face detection, MNIST) and artifficial neural network. Majority of which are implemented from scratch.
e-khalifayev/AI-bootcamp
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