Recently Published
App Usability Optimization with Multiple Linear Regression
Data Science for UX, CX, & PM
Human Activity Classification: Biometric ML Project
Biometric data was collected for the “Qualitative Activity Recognition of Weight Lifting Exercises”, a human-factors research paper in cooperation with the ACM and SIGCHI.
The goal of this research study is to develop a machine learning algorithm that can classify how well a dumbbell curl is being performed.
Multivariate Modeling: Bayesian and Frequentist Methods
The following report was produced as a capstone project for a 6-month statistics and data science course. This report utilizes both Bayesian and Frequentist methodologies for statistical inference and linear regression.