Extremely Randomized Trees with Privacy Preservation for Distributed Data (k-PPD-ERT)
Application of unsupervised learning and dimensionality reduction towards multiple problem sets.
Applies Machine Learning approach to predict spam.
FIIT Knowledge Discovery Project
Predicting the 2021 NHL season with the use of data from the NHL API, and an extremely randomized trees model.
Investigations into the credit default dataset
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