COGS 118B: Introduction to Machine Learning
Accent Atlas
Group final project for COGS 118B. Examines the relationship of location prediction from accent data labeling.
Examining differences/similarities between Accents from AccentDB database by using unsupervised machine learning algorithms via clustering techniques. Done all in Python and utilized its respective packages, and found that most ML algorithms had overlapping clustering, suggesting that overall accents and their similarities to one another are categorized similarly, yet could be differentiated into different (overlapping) clusters.
Source code can be found here.