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Kaggle Competition: Traffic Speed Prediction

The competition is the individual Kaggle competition of HKUST MSBD 5001 Data Analysis course, the task is a sub-project from the smart city project at HKUST iSingLab Smart City.

As a result, I ranked Top 10% (11/154) on the leaderboard.

1. Programming Languages Used & Required Packages Needed

1.1 Languages

  • Python: 3.7.4

1.2 Packages

  • Jupyter Notebook
  • Google Colab
  • pandas: 1.1.4
  • sklearn: 0.23.2
  • xgboost: 1.2.1
  • woo-hist
  • numpy
  • re
  • datetime

2. Notes on Reproduction

  • Check data/train.csv, data/test.csv, data/sampleSubmission.csv
  • Run the feature_engineering.ipynb
  • Run the xgboost.ipynb
  • Get the result xgboost_submit_4.csv

3. Kaggle Competition Entries NOTES

  • Team Name used for final submission: youngandcold. Due to the limit of submission times, I create another account: threeadayisnotok , and other experimental results are submitted in this account.