In order to pass the course, students are required to carry out a group project that demonstrates the knowledge of the course applied on practice. Results of projects are presented in the poster session on Dec 19, 2018. Recommended poster size is A0.
Information about the topics, requirements and grading is available here: Project kickoff slides
Poster session photos
Photos are available here
CLASSIFICATION OF FIBERS USING IR-SPECTRA
Predicting the type of hot beverage based on coffee machine vibrations
Open University: predicting students performance
PREDICTING STOCK MOVEMENTS USING NEWS AND MARKET DATA
ANNUAL CLINICAL SURVEY IN INDIA
Classifying dermatological lesions using machine learning methods
Music discovery through song lyrics
WallStreetBets – What should I lose money on?
Where in the World can we find good examples of education politics?
Black Friday Practice Problem Competition
OLYMPIC ATHLETES DATA ANALYSIS
Titanic Survivor Predictor 3000
Character Recognition in Natural Images
AUTOMATICALLY FILLING OUT DRIVING JOURNAL USING MACHINE LEARNING ALGORITHMS
Predicting newborn’s weight and macrosomy based on risk factors like gestational diabetes and others
Team Recommendation System for Fantasy Premier League