Two main parts:
- part1: Account classification experiments (ensemble strategies, feature extraction, model tuning). See subfolders (Qi Zihan, v1–v7) for detailed code and CSV outputs.
- part2: Crime analysis and time-series modeling (EDA, cleaning, visualization, Transformer/LSTM training). See
part2/README.mdfor usage details.
Large data directories are excluded from version control:
part2/orginaldata/(raw crime CSVs) — obtain from LAPD official releases or course Blackboard.part2/cleaned_data/(processed outputs) — copy available at: https://drive.google.com/drive/folders/1I7GNt0kcznnNRe6aYDqoR17qqlPBmKNV?usp=sharing- Virtual environment artifacts (
**/bin/,**/lib/,**/include/,**/share/,pyvenv.cfg,.venv,venv/).
All processing and modeling code is included so datasets and outputs can be regenerated locally when raw data is available.