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Heathcliff Nyambiya

Econometrician | Data Scienctist | Financial Engineering Candidate

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AIR QUALITY IN NAIROBI

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About this project

For each assessment, students must score 90%. Used a dataset from one of Africa's largest open data platforms, openAfrica. Learners build an ARMA time-series model to predict particulate matter levels in Kenya. They extract data from a MongoDB database using pymongo, and improve model performance through hyperparameter tuning. -Queried and obtained data from a MongoDB(NoSQL) database -Explored and cleaned time series data. -Built autoregression models. -Tuned hyperparameters.

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