張育瑞 (Kevin Chang)

學期間報告

1. Text Summarization (Natural Language Processing)                                                          January 2021 – May 2021 

    Used T5 model to make abstractive summarization       

    Compared SVM and logistic regression classify accuracy

   Used LIME to explain the words trending 

2. Inmate prison and bias (Regression)                                     August 2020 – December 2020 

    Built the regression model to interpret the inmate data       

    Explored US justice fairness or not 

3. The price forecast for New York Airbnb (Business Insight)       

    Used Linear Regression, Regression Tree methods to analyze price of Airbnb and find the best prediction model 

4. US law enforcement assaulted data analyzed (Data Science)                                             January 2020 – May 2020 

    Used R Studio with Shiny app to visualize crime numbers change in the whole US or different states with the timeline.       Used T-test statistic to prove that daytime and nighttime have different crime trends