GitHub / CalinaUK / MachineLearning-WEKA-EmotionRecognition

This was a research-focused project on the fundamentals of Machine Learning. The data set was used to classify the emotion of an image. The coursework was fully automated using Python. Algorithms included: Nearest Neighbour, Naïve Bayes, Bayesian Network, Decision Tree and Neural Networks. It covered key topics such as classification accuracy, preprocessing, clustering, overfitting and attribute selection.

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