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This repository contains the implementation of machine learning models for ice classification in Greenland using environmental and infrasound data. The project involves data preprocessing, exploratory analysis, feature selection, and model evaluation to improve the prediction of glacier activity.

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LinaLH/Ice-Classification-in-Greenland

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This repository contains the implementation of machine learning models for ice classification in Greenland using environmental and infrasound data. The project involves data preprocessing, exploratory analysis, feature selection, and model evaluation to improve the prediction of glacier activity.

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