This repository contains the solutions proposed for the three Mini-Contests of the Data Mining course (AY 20/21) at the University of Naples Federico II.
mini-contest-1-classification directory contains the solution proposed for the first Mini-Contest, which is a classification problem that should be solved with traditional Machine Learning techniques. The aim of the contest is to determine whether a patient has or not Alzheimer's Disease disease, by means of a Machine Learning model trained on some medical high-level information.
mini-contest-2-regression directory contains the solution proposed for the second Mini-Contest, which is a regression problem that should be solved with traditional Machine Learning techniques. The aim of the contest is to determine the Land Surface Temperature (LST) from satellite data, using data coming from the National Aeronautics and Space Administration (NASA) Landsat-8 missions 1.
mini-contest-3-image-classification directory contains the solution proposed for the third Mini-Contest, which is an image classification problem that can be solved with Deep Learning techniques. The aim of the contest is to determine whether a parasite egg appears or not in a microscopic image.