Preliminary groups list - ML2021

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T	U	V	W	X	Y	Z	AA	AB	AC	AD	AE	AF	AG
1	Group1	Group2	Group3	Group4	Group5	Group6	Group7	Group8	Group9	Group10	Group11	Group12	Group13	Group14	Group15	Group16	Group17	Group18	Group19	Group20	Group21	Group22	Group23	Group24	Group25	Group26	Group27	Group28	Group 29	Group30	Group31	Group32	Group33
2					The current idea in scope is to classify customer- will this customer be reported to the FIU ( Financial Intelligende Unit. The idea is to predict on KYC data	Brain MRI segmentation - https://www.kaggle.com/mateuszbuda/lgg-mri-segmentation	credit card fraud detection		ChemCam data, to identifying the chemical composition of minerals	dataset to a spotify dataset from Kaggle, where we will aim to predict the popularity of songs based on time series analysis and also try to predict the release year of a song		the images of ice where we want to classify whether it's ash or pollen (or something else)	Plan to work on financial data provided by Adriano with a project that focus on the stock market	Some NWP data/ or other satellite data concerning climate	We will be doing the project with insurance claims data, with a goal of making a pricing model	Plan A: - Apply machine learning to a dataset from a clinical study where the primary goal of the investigation is to determine if one of two surgical operational methods leads to the patient recovering faster than the other. The operation concerns removing a tumor from the intestines. - A secondary goal is the determine if one can detect a difference in the characteristics of the blood perfusion through the intestines between the groups of patients having undergone one or the other operation. - I have contact to the surgeon which is part of the project through the company I work in besides my studies, but I haven’t received the information about the size of the dataset yet. I assume that I will get that during this week. Plan B: - Use the dataset from Troels about ‘Identifying ancient "insoluables" in icecores from images’		‘Identifying ancient "insoluables" in icecores from images’-dataset		Generating Photonic Crystals from Band Diagrams			Image classification to classify dog breeds	Something about weather prediction	the clustering project with Adriano	Maybe something with image recognition	analysing Kepler Objects of Interest data, specifically with false positives classification (at first) and maybe prediction of planetary radius later (regression)	QuickDraw data (https://quickdraw.withgoogle.com/data) and probably also look into GANs to create our own drawings.	This project on Kaggle https://www.kaggle.com/c/birdclef-2021	Multi-class classification of cases based on text description	projekt kommer til at handle om Fantasy Premier League. Vi Vil bruge det her data: https://github.com/vaastav/Fantasy-Premier-League på at prøve at vinde FPL	project on the GTSRB* dataset which involves classifying 40 different classes of German road signs and also apply my approach on a different dataset: TSRD** to measure my model architecture on two separate datasets. I would be building a CNN but also trying a GBM to compare their performances. It will be a multi-classification task. https://www.kaggle.com/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign
3					Clara Victoria Munk Heine Matovu	Alex Bruun Hemmingsen	Niels Krog	Zihua Wang	Niall Omar Henry Gray	Jun Jia	Markus Hofer	Kristine Marie Løfgren Krighaar	Kevin Kumar	DLDana Sarah Lüdemann	Nick Kjær Mikkelsen	Martin Lyskjær Frølund	Alicia Mosquera Rodríguez	Amalie Regitze Faber Mygind	Marc Christoffer Pedersen	Pedro Martínez Saiz	Andrea Pertoldi		Maja Skafsgaard	Chrysoula Stathaki	Katharina Theresa Scheidt	Kian Gao	Beatriz Campos Estrada (She/Her)	Martin Langgård Ravn	Tobias Priesholm Gårdhus	Marie Albrecht	Ruben Engmose Larsen	Jonathan Bjørn Greve	Josefine Fang Ya Munk Mosegaard
4					Rasmus Jul Skalts	Asger Damgaard Christensen	Eugen Sopot		Leon Bozianu	Valerii Novikov		Emma Ynill Lenander	Emil Hellebek	Anna Puggaard	Troels Sabroe Ebbesen	LSLars Erik Johnsen Skjegstad	Tommaso Ferrari	Ulrik Friis-Jensen	Søren Brix	Beñat Martinez de Aguirre Jokisch	Julian Curry Robinson-Tait		Kimi Cardoso Kreilgaard	Neus Rodeja Ferrer	Nga Ying Lo	Tobias Skov Særkjær	Vittorio Sguazzo	Marie Cornelius Hansen	Kaare Endrup Iversen		PTPatrick Thaddeus Timmermans		Benjamin Jacobsen Hasan
5						JHJohan Ellekær Hansen	Bjarne Ullner Munch	Johan Auchenberg Brimer	MHMorten Holm	Rebecca Schmieg		Camilla Birch Okkels	Daniel Abdulla Bobruk	Helene Pehrsson	Jakob Sand Houe	Liam Joseph Ward	Georg Enzian	Marcus Frahm Nygaard	Rasmus Probst Meyer	Jonas Bundgaard Mathiassen	Mads Bjerregaard Kristensen	Amelia Jade White	Linea Stausbøll Hedemark	Anna Ida Katharina Kirchner	Emily Madeleine Wilbur	Mia-Louise Nielsen	Bia Fonseca	Kasper Hede Nielsen			Martin Odgaard Vestergaard		Sarah Jane Stapleton
6						Daniel Magleby Sørensen	Kiril Angelov Manin	Andreas Malthe Faber	Jonathan Guldberg Elsborg	Georgia Anyfantaki		Simon Christian Debes	Gustav Ernst Madsen	Elloise Jensen Fangel-Lloyd	Emil Ditmar Hofman		Sofie Castro Holbæk	Michala Damsgaard Jensen	Mathias Preisler Schødt	Jacob Thornfeldt Hansen	Eliot Bohr	Kun Yu	Samy Tessier	Christopher-Dustin A Pfeiffer		Kian Kirchhof	Marco Merusi
7									Frederik Lizak Johansen			Martin Hoffmann Petersen					Michael Viktor Alban Zugenmaier	Søren Langkilde			Sofus Laguna Kristensen		Ioannis Mageiras	Arnau Morancho Tarda			Carl Gustav Henning Hansen
8									Kristian Lyck Lotzkat			Jeppe Jon Cederholm															Moritz Bilstein
9																							June 17th
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