Nataliia Timoshyna's repositories

coding-exercises

Python, RegEx

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EPAM-University-Data-Science-Program

Linear regression, classification (NLP), clustering, sentiment analysis, and time series projects made with both classical machine learning algorithms and neural networks.

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Russian-text-classification

Classification of ads in Russian with SpaCy and PyTorch

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Yandex-ML-training

Homeworks: Laplace distribution, power method, derivatives, bagging, boosting, feature importance, an NN pipeline

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