The aim of this project is to train a model using a dataset to analyze patterns which lead breast cancer to being malignant and / or benign. We also aim to provide a comprehensive research paper detailing the purpose, methodology and applications of our finished model.
- CA3MachineLearning -> Contains the .tex files and .bib files for our research paper
- CA3MachineLearning.pdf -> PDF generated from .tex files
- wdbcwh.csv -> csv of full dataset with headers
This project was coded in python utilizing various libraries for machine learning and data-science
https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/ -> Source: UC Irvine Machine Learning Repository & University of Wisconsin