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Client project | thelab@DC | A team repository to predict gunshots over multiple open source datasets

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The_Lab_DC_client_project

A team repo to client project with The Lab @ DC (GA-DSI)

Table of Contents

00.Executive Summary - Predicting Shots.pdf

00.The Lab DC - Consulting proposal.pdf - Slide deck the team presented to the client

01.Data.ipynb - Read in all outside details, data sets are large

02.EDA.ipynb - Basic Breakdown and view of the datasets

03.Feature Engineering.ipynb - Preparing data for modeling

04.Modeling.ipynb - Classification and regression modeling

05.Graphs.ipynb - Few random graphs to show a little bit more information

98.Housing_dataset.ipynb - Future data that we hope to break down

Assets - Contains data once first notebook is run

Archive - Old notebooks

Settings

  1. Make sure you have .gitignore in your local repo by adding this line: assets/csr/*
  2. Make sure you install and track Git Large File Storage(read more: https://git-lfs.github.com) - git lfs install, git lfs track "*.csv" - this will create .gitattributes in your local repository.

Sources: datasets

  1. ShotSpotter Data, Metropolitan Police Department https://mpdc.dc.gov/publication/shotspotter-data-disclaimer-and-dictionary
- ShotSpotter Data (2014-2017): https://mpdc.dc.gov/sites/default/files/dc/sites/mpdc/publication/attachments/ShotSpotter%20Data%2014-17%20180213_0.xlsx
- ShotSpotter Data (Q1 2018): https://mpdc.dc.gov/sites/default/files/dc/sites/mpdc/publication/attachments/ShotSpotter%20Public%20Data%20Q1%202018.xlsx

- fetched at 12:30 EST, June 18th, 2018
  1. City Service Requests Data, Open Data DC http://opendata.dc.gov/
- 2014: http://opendata.dc.gov/datasets/city-service-requests-in-2014
- 2015: http://opendata.dc.gov/datasets/city-service-requests-in-2015
- 2016: http://opendata.dc.gov/datasets/city-service-requests-in-2016
- 2017: http://opendata.dc.gov/datasets/city-service-requests-in-2017
- fetched at 12:30 EST, June 18th, 2018

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Client project | thelab@DC | A team repository to predict gunshots over multiple open source datasets

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