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Machine Learning Algorithms (Graduate Course) - Homework Implementation
Machine Learning Algorithms (Graduate Course) - Homework Implementation
HW1 - 1. Perform One Hot Encoding to raw dataset (link: http://archive.ics.uci.edu/ml/datasets/Car+Evaluation). 2. Implement KNN classifier to apply it to transformed data. Got accuracy from training/validation/test data.
HW2 - 1. Implement Bernoulli Naive Bayes and apply ti to same dataset in HW1. 2. Compare its result (accuracy) with other classifiers (Logisitic Regression, Decision Tree, KNN).
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