Internet Resilience Index for Predictive Outage Detection
Machine Learning
A CMU Africa × Internet Society practicum: an XGBoost model that predicts global Internet outages with over 90% accuracy.
Carnegie Mellon University Africa & Internet Society
A semester-long practicum using the Internet Resilience Index (IRI) to predict Internet outages.
- Performed exploratory data analysis (EDA) with the project team and transformed IRI data for modelling.
- Built a Python XGBoost model that predicts global Internet outages with over 90% accuracy.
Technologies: Python, XGBoost, Machine Learning
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