My ICS435 project is predicting AIDS Using Machine Learning in HIV Clinical Trials.
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The dataset consists of healthcare statistics collected from patients diagnosed with acquired immunodeficiency syndrome (AIDS), initially published in 1996 by Hammer et al. see AIDS_Classification.csv in the data folder.
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The ICS435_FProject.pdf is the written submission.
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Three types of models were trained through Google Colab: Neural Network, Random Forest, and Support Vector Machines. The code for each model are the jupyter notebooks:
- ICS435_FProject_NN.ipynb ;
- ICS435_FProject_RF.ipynb ;
- ICS435_FProject_SVM.ipynb
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The best trained models are saved in the models folder.