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.DS_Store
 
 
1-1001_insp_clean.ipynb
1-1001_insp_clean.ipynb
 
 
1001_Project_data_insp_yelp.csv
1001_Project_data_insp_yelp.csv
 
 
2-1001_yelp_match.ipynb
2-1001_yelp_match.ipynb
 
 
3-gather-api-data.ipynb
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4-clean-data.ipynb
4-clean-data.ipynb
 
 
5-EDA.ipynb
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6-models.ipynb
6-models.ipynb
 
 
Book1.twb
Book1.twb
 
 
DOHMH_New_York_City_Restaurant_Inspection_Results.csv.zip
DOHMH_New_York_City_Restaurant_Inspection_Results.csv.zip
 
 
NY_Inspection.csv
NY_Inspection.csv
 
 
README.md
README.md
 
 
apidata.zip
apidata.zip
 
 
cuisine.ipynb
cuisine.ipynb
 
 
dataset_all.csv
dataset_all.csv
 
 
dataset_cleaned.csv.zip
dataset_cleaned.csv.zip
 
 
dataset_full.csv.zip
dataset_full.csv.zip
 
 
features.ipynb
features.ipynb
 
 
lightGBM_model.py
lightGBM_model.py
 
 
neighborhood_profile.zip
neighborhood_profile.zip
 
 
nyc_noaa.csv
nyc_noaa.csv
 
 
report.pdf
report.pdf
 
 
rodent_process.csv
rodent_process.csv
 
 
weather_data_noaa.csv
weather_data_noaa.csv
 
 
zcta_to_puma_assigned_NYC.csv
zcta_to_puma_assigned_NYC.csv
 
 

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1001-NYC-Restaurant-Inspection

This project tackles the problem of NYC restaurant inspection prediciton. We aim to predict the whether or not a restaurant will fail the health inspection in order to offer insight to NYC health department.

  • Prerequisite package: Lightgbm

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