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  1. Chicago-Housing-Price Chicago-Housing-Price Public

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

    R 2

  2. Airlines-Customer-Satisfactory Airlines-Customer-Satisfactory Public

    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.

    1

  3. quantile_decomposition quantile_decomposition Public

    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).

    1