Da Vinci SW Hackathon

Nov 30, 2018
Code

  • Developed a web application that predicts the congestion level of major tourist destinations named “눈치싸움 대작전” by “다섯명”, a five-member team.

  • Developed the web server using Python module flask, and constructed the database using sqlite3.

  • Constructed the LightGBM model to predict the congestion level of the places using foot traffic data from SKT.

  • The source codes of the program is available on https://github.com/statKim/Da_Vinci_SW_Hackathon.

software development machine learning predictive modeling
Hyunsung Kim
Hyunsung Kim
Ph.D. Candidate in Statistics

My research interests include Functional Data Analysis, High-Dimensional Data Analysis, and Conformal Prediction.

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