Portfolio Details
Causal Inference of Ozone and PM2.5 Exposure on Chronic Obstructive Pulmonary Disease
- Category: Causal Inference
- Class: Data, Inference, and Decisions
- Date: Spring 2021
Description
- Cleaned 100,000+ data and extracted valuable insights through exploratory data analysis and visualization
- Utilized GeoPandas module to produce a geospatial gradient map illustrating geographical air pollution levels
- Tested causal effects between PM2.5 Exposure and the disease by applying Neyman Null Hypothesis
- Built K-Nearest Neighbors classifier and GLM models to evaluate the performance of different models
