Graduate Works

Linear Models poster

Towards the end of the semester, we were tasked to take all the concepts we learned, and piece them together like a mind map - it was a lot of fun! This was the moment I realized that I learned a lot more in the course than I had previously thought. Plus, it was nice to use my stickers :) you can check out my poster here, which received top accolodes out of the class. The medium was posterboard with glued origami paper and calligraphy markers. Some of the characters featured include Gon and Killua from Hunter x Hunter, bootleg Clefairy ordered from, Ash, Pikachu, and Meowth, that's right! 

I also give a virtual presentation of the poster here

Statistical Methods paper

Since 1970, breast cancer has been the second most deadly form of cancer in the United States, and it is the leading cause of death for Hispanic women. In spite of this frequency, much progress has been made regarding the diagnosing and preventative care of breast cancer, as deaths have decreased 43% overall from the 1990s to 2020s. The fact that deaths from breast cancer have decreased steadily since 1989 has been contributed to the advancement of treatment efforts and earlier detection via cancer screening methods, made particularly possible through statistical learning models. 

In this report, we employed Random Forest, Support Vector Machine, and Neural Networks methods in order to create an accurate model to observe which features are most helpful in predicting malignant or benign cancer.