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Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

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Polymarket will act as a clearinghouse for DraftKings’ upcoming prediction market platform, following its acquisition of Railbird earlier this week. American sports betting platform DraftKings is ...

Abstract: Hyperspectral image (HSI) classification involves assigning unique labels to each pixel to identify various land cover categories. While deep classifiers have achieved high predictive ...

Though they’re ultimately two different lenses, sports betting can provide some smart intel for fantasy football and how players are expected to perform — after all, sportsbooks do an incredible ...

A powerful and practical AI/ML-driven Stock Market Prediction project built using Python. Designed for real-world usability, this project predicts next-day stock movement, performs full pipeline ...

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

I am trying to run image classification inference with HyperSIGMA on my own hyperspectral .mat data file. I have the pretrained weights and all dependencies set up. However, I’m not sure how to: ...