WiDS 2025 Global Datathon Workshop #3: Building & Evaluating a Machine Learning Model
About This Video
In this workshop, instructors cover how to build a machine learning model for the 2025 Global Datathon Challenge. They will also go over F1 score, which is the metric used to evaluate participants. This workshop is the third of three Global Challenge workshops presented by WiDS Interns Caterina Ponti and Kylie Cancilla, and WiDS ambassador Liana Mendoza. They are all students at the University of San Francisco.
In This Video
Student, WiDS Intern
I am Kylie Cancilla, a Data Science major at the University of San Francisco. I am working with Women in Data Science this year to help provide resources for participants in the 2025 Global Datathon Challenge.
Student, WiDS Intern
Data Science Student at the University of San Francisco and WiDS Intern.
Student, WiDS Ambassador
Liana is a a Data Science major with a minor in Neuroscience who is driven by data, advocacy, and inclusive innovation. Her goals revolve around understanding how to empower healthcare through data-driven initiatives. Her previous experiences are varied and include graphic design and project management. She is also a firm advocate of gender sensitivity and women empowerment, leading and participating in organizations that push for equality.