Healthy Air
Project Abstract
This is a project that aims to explore respiratory health, focusing on asthma, in the context of potential factors that may explain how it changes over time. Specifically, I am interested in how the prevalence and severity of asthma are potentially affected by factors such as:
- pollution sources and emmission types
- demographic characteristics
- meterological factors
This is an end to end project, whcih basically means that the scope of this project covers the entire data science process, which includes important activities like:
- Data wrangling: Raw data acquisition, processing and management
- Data exploration and feature selection
- Data modelling and statistical inference
- Predictive analytics via machine learning and/or data modelling to leverage significant patterns and trends identified within the datasets
- Creation of Data Products: reproducible reports and data visualisations
Project Links:
- GitHub Project main page
Related Posts:
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References
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