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lapd-crime-data-analysis

This iPython notebook analyzes crime data from Data.gov in the City of Los Angeles

machine-learning-boston-housing-data

This project applies basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.

medianwater

Water Usage at Landscaped Medians in Los Angeles

methods

The design methods practiced at 18F. This repository includes general descriptions of our methods, how-tos, as well as information for applying these methods on government projects.

muni-city

test

open-water-rate-specification

A machine-readable format for storing and sharing water rate structures.

paperclip-av-transcoder

Audio/Video Transcoder for Paperclip using FFMPEG/Avconv

pipeeye

Image Recognition for Pipeline Inspection Video

railtalk

This app uses free unstructured voice requests to predict arrival times for nearby trains.

rayapp

react-meteor

react and meteor

react-native

A react-native project

realtime-stormwater-capture-18f

Realtime Stormwater Capture Tool using 18F's Analytics Dashboard Design

recommendation-engines-with-python

This is an ipython notebook that demonstrates how to recommend movies based on a collaborative filtering. Explores using Euclidean distances and Pearson scores to make suggestions

researchpooler

Automating research publications discovery and analysis. For example, ever wish your computer could automatically open papers that are most similar to a paper at an arbitrary url? How about finding all papers that report results on some dataset? Let's re-imagine literature review.

sandr

An open source tinder application for Bernie supporters!

sensitivity-analysis-street-excavations

This shows how shiny optimizes the a) max excavation pit size and b) min impact on nearby utilities.

shiny-examples

spark-cookbook

chef cookbook to install Apache Spark

sql_labs

Portfolio for my workings on SQL

stochastic-optimization-ipython-demonstration

This is an example of an optimization problem where one must find time perfect departing/arrival times of flights for 5 different people to save money. Purpose is to minimize cost function which in this case is defined by wait time and ticket price.

storm.lacity.org

storm.lacity.org-1

talk311

This app (iOS) uses voice activated search for thousands of public contacts in the City of Los Angeles

tester

thinkster-django-angular-boilerplate

Boilerplate for the Thinkster.io Django and AngularJS tutorial.

time-series-classification

Classifying time series data with K Nearest Neighbors and Dynamic Time Warping

treebook

tsnejs

Implementation of t-SNE visualization algorithm in Javascript.