This is a course project for DSC80 at UCSD.\
In this report, I conduct data analysis on Stock Trade executed by US House of Representatives members. The report covers data cleaning, exploratory data analysis, data missingness analysis, and hypothesis inference. Through the hypothesis test, the report addressed questions such as whether party representatives hold different transaction style, and what the most popular companies Representatives like to invest in are answered.
The data analysis final report can be found at Stock_Analysis_final_report
I further binary classification task to predict party affiliation of trades based on given features. The report covers feature engineering, model training, and model fairness analysis. The final model achieves an accuracy of 0.835.
The prediction report can be found at party_prediction_report