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I am a passionate data scientist with a comprehensive background and record in modeling, statistics, data management and programming

Paul Tanger's Projects

campsitepredict icon campsitepredict

This project uses convolutional neural networks and natural language processing to classify campsite locations. The model was deployed using Flask on an AWS instance.

covid-uk icon covid-uk

Scenario analyses for COVID-19 outbreak in the United Kingdom

covid_lic icon covid_lic

This repository is a collection of my work analyzing and integrating data of COVID-19 impacts in Low and Middle Income Countries. Check out the output here:

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

fraud_detection icon fraud_detection

This is a project to implement a fraud detection model using random forests, postgres SQL, APIs, and Flask apps

pi-webcam icon pi-webcam

a fun little project to use a raspberry pi camera to do object detection and text alerts

r-qtl_functions icon r-qtl_functions

A set of functions that improves data extraction and plotting from R/qtl. Especially useful for multiple traits.

realty-markets-analyzer icon realty-markets-analyzer

This is a project to gather data and develop an analysis of realty markets across the US for the purpose of long term investment properties.

rtraining icon rtraining

materials for a short R training course I organized in DC

scripts_tanger_etal_2014 icon scripts_tanger_etal_2014

This is a copy of the bitbucket repo for this publication: Tanger P, Vega-Sánchez ME, Fleming M, Tran K, Singh S, Abrahamson JB, Jahn CE, Santoro N, Naredo EB, Baraoidan M, Danku JMC, Salt DE, McNally KL, Simmons BA, Ronald PC, Leung H, Bush DR, McKay JK, Leach JE (2015) Cell wall composition and bioenergy potential of rice straw tissues are influenced by environment, tissue type, and genotype. BioEnergy Research, online in advance of print. http://dx.doi.org/10.1007/s12155-014-9573-y

scripts_tanger_etal_2017 icon scripts_tanger_etal_2017

This is a copy of the repo from bitbucket for this publication: Tanger, P., Klassen, S., et al. 2017. Field-based high throughput phenotyping rapidly identifies genomic regions controlling yield components in rice. Scientific Reports. 7:42839

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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