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Name: Matthew Brotherton
Type: User
Matthew Brotherton's Projects
2020-heart-failure-prediction
This repository contains a notebook that examines the performance of various classification models on the Kaggle dataset: https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data. The best performing model was a Random Forest Classifier with 86.67% accuracy.
2021-dengue-fever-prediction-time-series-
This repository contains the notebook used for the Spring 2021 Kaggle Dengue Fever Prediction Competition. Placement was in the top 10% with a MAE of 24.86. Our best approach involved Random Forest Regression on a reduced featureset selected with Recursive Feature Elimination in combination with correlation with the target (number of dengue cases).
2023-an-analysis-of-image-based-malware-classification-using-deep-learning-techniques
This repository contains a variety of CNN-based approaches (CNN, CNN-SVM, InceptionV3) used to classify families of malware in the Malimg, MaleX, and MMCC datasets under a variety of dataset compositions.
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