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!
In this activity, you'll construct and interpret an XGBoost classification model using the XGBoost library in Python. Key topics covered include: ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
A Machine Learning workflow using QGIS and Python (Scikit-learn, Rasterio) to perform supervised classification of Sentinel-2 satellite imagery. Comparativa: IA (Random Forest) vs. QGIS (Máxima ...
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