- The ML project was about fitting supervised learning models for a regression tasks after applying feature engineering and data pre processing.
- The capstone project was about graph theory usage to detect corruption: each node is a legislator and each edge represents the similarity in votes as described in the report.
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This repo contains the assignments and project for the Data Science course at AUB (CMPS 262). Topics include supervised learning models and graph analytics,
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