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aca_map

Interactive map hosting embedding

cares_act

Data engineering and analysis of CARES Act funding data, initially in service of a partnership between the National Press Foundation and DataKind DC. The work done here will be used to publish articles on the efficacy and various facets of CARES Act (round 1, at least) stimulus funding.

computer_vision

Project code for AI Programming with Python ND Program

conda

Specifying a conda environment with `environment.yml`

data-analysis

Data Science Using Python

dbcv

Python implementation of Density-Based Clustering Validation

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

disaster-prone-nlp

A project using natural language processing to predict the most relevant category for disaster-related tweets such that emergency aid organizations can direct help efficiently

docker-neo4j-publish

dspytests

enronfraudproject

Using machine learning modeling to predict who in the Enron fraud investigation will be labeled a Person of Interest (POI).

evlens

Experiments for determining the maintenance status of an EV charging station

finding_donors

Udacity Data Scientist Nanodegree Term 1 Project 1

full-stack-dev

Handy tools and useful info from my full stack web dev learning journey

fuzzymatcher

Record linking package that fuzzy matches two Python pandas dataframes using sqlite3 fts4

geopandas

Python tools for geographic data

german_demographics_clustering

googlecal-commuterinvoicing

Generates invoices for different commuters who have signed up to ride in our car using data from a shared Google Calendar

green-chains

hospital-chargemaster

Analysis of American hospitals and their quality of care

hospital-chargemasters

multi-output-glucose-forecasting

The code used for the paper Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories published in KDD 2018

osti-api

prosper.com-loans-eda

Exploratory data analysis of Prosper.com loans from 2005 - early 2014

pytorch-forecasting

Time series forecasting with PyTorch

reviewernormalizing

Creates code for taking scores (e.g. as part of a prize competition) and normalizes judges' scores in an attempt to minimize scoring bias and comparing one judge's scores as directly as possible to another judge's scores by mapping them to the same normal distribution.

rppr2-checker

seto_staff_analysis

social-lstm

Social LSTM implementation in PyTorch

solarprize

Contains code related to various DOE Solar Prizes, including the American-Made Solar Prize. Includes things like assigning judges to submissions based upon keyword similarity scores.