I did a research project for Sprint 1 of the Worldwide Studios Fellowship for AI for Science, exploring how machine learning can distinguish benign and malignant breast samples. I analyzed 569 samples using exploratory data analysis, statistical hypothesis testing, and logistic regression. My model achieved 97.4% test accuracy, and I documented the process in a Google Colab notebook!
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