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This repository contains the test data and code used for the paper titled "Physics-Based Machine Learning Framework for Predicting NOx Emissions from Compression-Ignition Engine Powered Vehicles" that is submitted to the Applied Energy Journal
Open data project which I worked on @ Berlin Data Science Lab. Built a classification model to predict how likely a car will fail the emissions test and to schedule ealier test dates for the vehicles that are more likely to fail the inspection.
IST 5520 Data Science and Machine Learning in Python Project, where we developed a predictive model to predict the vehicle emission score or Smog rating as defined by the Environmental Protection Agency(EPA).