Course Projects
Natural Language Processing
Developed a cryptocurrency price prediction model through sentiment analysis of Twitter API data by implementing LSTM and BERT-GRU model. Selected as an outstanding project in class.
(View report)
Machine Learning
Performed categorical predictions on demographic datasets with probabilistic, linear, and non-linear models, including Bayesian classifier, logistic regression, and MLP.
(View code)
Deep Learning
Implemented CNN architectures (VGG16, 4-layered ResNet-50 model) for image classification with CIFAR-10 datasets.
(View code)
Other Projects
KU Academic Society of Psychology
Examined loss aversion in decision-making under risk with forced-two-choice task. Assessed individual differences.
(Referenced Tom et al.(2007) for behavior experiment).
