This study uses different supervised machine learning techniques to build models to predict the ten-year risk of coronary heart disease. It also compares the models to identify the model with the highest prediction accuracy and the least test error…
This study uses different supervised machine learning techniques to build models to predict the 10-year risk of Coronary heart disease using the Framingham heart study dataset. It compares, identifies, and selects the model with the highest…
This file includes a narrated PowerPoint presentation concerning the preliminary results of a a senior Honors Thesis: Cognitive Effects of Individual Differences in Sensory Processing Sensitivity. The primary investigator for this project is…