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EDA
EDA
 
 
data
data
 
 
extract
extract
 
 
model
model
 
 
output
output
 
 
transform
transform
 
 
visualization
visualization
 
 
README.md
README.md
 
 
Restaurant_Risk_Forecaster_Summary.pdf
Restaurant_Risk_Forecaster_Summary.pdf
 
 

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metis_project3_mcnulty

  1. extract: Save raw data to SQL.
  2. transform: Parse useful features from raw data and merge with target columns.
  3. model: Refine model parameters and save results.
  4. plot: Visualize results.

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Metis Project 3, Classification: Predicting restaurant closure with Yelp data

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