Jieyi-Chen-98

Airlines-Customer-Satisfactory

This project uses Machine Learning prediction methods such as Random Forest, Boosting and Neural Network. Plus, clustering analysis is carried out for more precise marketing strategy for each cluster.

Chicago-Housing-Price

This project analyzes zipcode-year housing prices in Chicago area by text analysis (NLP) and fixed effect regression, and generates a shiny app.

Jieyi-Chen-98.github.io

Hi! I am Jieyi Chen, currently a second-year MPP student in Harris UChicago. Thanks for visiting my github profile!!

puzzles

quantile_decomposition

In the project, I use reweighing and RIF (recentered influence function) to tackle wage decomposition on quantile. It is written in R and the maths parts are written from scratch (no package uesd).

Jieyi-Chen-98/Chicago-Housing-Price

This project analyzes zipcode-year housing prices in Chicago area by text analysis (NLP) and fixed effect regression, and generates a shiny app.

Jieyi-Chen-98/Airlines-Customer-Satisfactory

This project uses Machine Learning prediction methods such as Random Forest, Boosting and Neural Network. Plus, clustering analysis is carried out for more precise marketing strategy for each cluster.

Jieyi-Chen-98/quantile_decomposition

In the project, I use reweighing and RIF (recentered influence function) to tackle wage decomposition on quantile. It is written in R and the maths parts are written from scratch (no package uesd).

Jieyi-Chen-98/Jieyi-Chen-98.github.io

Hi! I am Jieyi Chen, currently a second-year MPP student in Harris UChicago. Thanks for visiting my github profile!!

Jieyi-Chen-98/puzzles