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