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Coursera Advanced Data Science Capstone

In which our hero examines data from NYC and NOAA to determine the effect of weather on non-emergency 311 calls.

notebooks

  • Weather_Affect_on_311NYC.data_exp.ipynb - This reads in the original 311 data file, which is HUGE. and cuts it down to size.

  • Weather_Affect_on_311NYC.etl.weather_data.ipynb - cleanup, joins, etl type stuff.

  • Weather_Affect_on_311NYC.feature_eng.ipynb - early feature extraction, top ten lists of 311 call types

  • Visualize_1.ipynb - Initial Weather Visualization

  • Visualize_2.ipynb - Visualization where I firts identifyied the Weekend Effect

  • Visualize_Weather.ipynb - Rain, Snow, Wind, etc.

  • Model_2.ipynb - Performs Linear Regression on Weather Data, Plots results

  • Model_3.ipynb - Linear Regressions that show failed attempts to correlate against certain weather types

  • Model_3a.ipynb - Linear Regressions that show failed attempts to correlate vs wind

  • Model_4.ipynb - Clusrter Analysis

  • Model_5a_DL.ipynb - Deep Learning

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This project takes public data from NOAA and NYC to determin the effect of the weather on non-emergency 311 calls

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