A cooperative data cleaning standalone application.
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Updated
Nov 25, 2021 - MATLAB
A cooperative data cleaning standalone application.
This manuscript was our submission to the CMCM 2017 competition, a Cornell wide competition to solve an open ended problem in the real world using modelling techniques.
This project predicts the price of houses based on a training dataset with 79 features. The project combines what I've learned in the Google Data Analytics course and a machine learning course from Coursera
MATLAB code for SVM classification of artefacts in MEG data. Includes features extraction and trial classification functions.
My Final Degree Project in Software Engineering Bachelor's Degree consisting of the development of a Machine Learning project for Wind and Waves modeling in the time and frequency domain
This repository contains projects related to data importing from CSV file, cleaning, visualization and analyzing in MATLAB.
MATLAB code for automatic identification of artefacts in MEG data based on amplitude thresholds. Includes data cleaning and data visualisation functions.
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