# name
Processing of Magnetotelluric Data Using Machine Learning Techniques

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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Alejandro Marcuello Pascual

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This report is based on magnetotelluric (MT) data from the electromagnetic (EM) Earth field. The main objective is to analyze, reduce, and asses EM noise, coming from man-made technologies. To evaluate how to denoise MT data, a code is developed in Python, which uses the K-Means technique from machine learning. In the end, it is obtained a preliminary method to identify noise situations.

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Processing of Magnetotelluric Data Using Machine Learning Techniques