Machine Learning and Data Visualization Project at B@chillerato UNAM
I built a data exploration tool to analyze real student performance within Moodle for the Coordination of Open University and Digital Education (CUAED).
Using Python and Streamlit, I created an interactive interface to visualize complex datasets.
The focus of my work revolved around Feature Engineering, PCA, and synthetic data generation, culminating in predictive models built with Scikit-learn to identify patterns in student behavior.
The screenshots, diagrams, and videos in this article were created by fedogamer.