- Project Description:
NOAA (National Oceanic and Atmospheric Administration) records the occurrence of storms and other significant weather phenomena having sufficient intensity to cause loss of life, injuries , significant property damage, and/or disruption to commerce.
NOAA stores the observations of storm events in a database of csv files (https://www.ncei.noaa.gov/pub/data/swdi/stormevents/csvfiles/). We are using the features and observations from this data to predict the property damage caused by any of the storm events in United States.
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Project Status: Complete
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Usage Guidance: Please execute the code in following order
3.1 Pipeline.py -
This file calls two important files: PreProcessing.py and Model.py.
PreProcessing.py does data extraction and all important data pre-processing steps.
Model.py uses the processed data and trains and predicts the model.
3.2 Main.py -
This file will use the trained models from Pipeline.py and, using PyQt5, build dashboard to show EDA and Model results.
- Technology Used: Python