by Guangyu Xing, Jiwei Zeng, Peihsuan Hsia, Weihao Zeng, Xiancaozhi Yi
Updated Date: 11/13/2018
- Dataset The raw data is from the NHTSA website. [http://www-odi.nhtsa.dot.gov/downloads/folders/Complaints/FLAT_CMPL.zip]
We divided and pre-process the datasets into two files
- ADAS_File_5_updated.csv (training dataset)
- data_unlabelled_xing.csv (test dataset)
Please install the Python packages below before run the notebook file "practicum_v12.ipynb".
- Python packages:
- pandas
- numpy
- sklearn
- plotly
- nltk
- category_encoders