The final project is an opportunity for students to explore machine learning in the context of a real-world data set. Projects can be whatever the students want, as long as it is focused on getting a machine learning system to learn. The links below connect to the final project websites submitted in previous years. There are a lot of interesting projects here. Have a look!
Learning Subjective Image Concepts
A Naïve Bayesian Approach to Evaluating Computer- Mediated Communication
CRUPS: Consumer Review Utility Prediction System
Automatic Wood Defect Classification
Stock Price Time Series Forecasting by Neural Networks
Trust Me, I Know You: Using Clustering to Predict Renter Film Selections in Netflix
Twitter-Amazon based book recommendation engine with weighted attributes
Data fusion for powered lower-limb prostheses
Optimal Parameters to Use for Classification of Paintings
Genetic Algorithm based Network Intrusion Detection System
Comparing Approaches to Connect6: Temporal Difference vs. Minimax
Learning to Search a Melodic Metric Space
Score Following with HMMs and Polyphonic Audio Input
Dynamic Cache Resizing and Voltage Scaling using Machine Learning Algorithm
Using Neural Networks to Classify Paintings by Genre
Muscle Location Optimization Using a Genetic Algorithm
Learning to Detect Pitch Accents using a Naive Bayes Classifier
Face Recognition with Neural Networks
Sentiment Classification with SVMs
Rapid Facial Expression Classification Using Artificial Neural Networks
Using Neural Nets to Recognize Handwriting
The Effect of Region of Activity Measures on Automatic Audio-Visual Speech Recognition