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Ryan Quan

public health researcher / data enthusiast

http://www.ryancquan.com/

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Ryan Quan | ryancquan.com Reviews
<META>
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public health researcher / data enthusiast
<META>
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1 ryan quan
2 about me
3 archive
4 projects
5 ggplot2
6 playgrounds
7 open data
8 built environment
9 equity
10 climbing walls
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ryan quan,about me,archive,projects,ggplot2,playgrounds,open data,built environment,equity,climbing walls,jealous yet,data science,coding,sleep cycle,quantified self,knn faces,scraping,munging,so frank,stackoverflow,posts,and blogs,xmlparse,city council
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Ryan Quan | ryancquan.com Reviews

https://ryancquan.com

public health researcher / data enthusiast

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1

CV

https://ryancquan.com/cv

Mailman School of Public Health, Columbia University. MPH, Public Health Informatics. Relevant Coursework: Data Mining, Data Visualization, Methods in Biomedical Informatics. University of California, Berkeley. BS, Microbial Biology. Leveraging computational statistics and machine learning to extract information from data, build useful models, and drive better decisions. Transforming raw numbers into narrative visualizations that communicate technical ideas and insights to non-technical audiences. Led R ...

2

Image Compression with PCA

https://ryancquan.com/blog/2014/10/07/image-compression-pca

Image Compression with PCA. Ever wonder how various graphics software are able to reduce the file size of your image without a significant loss in quality? Welcome to the world of image compression. Expanding on a previous post. In which I used principal component analysis (PCA) to generate so-called eigenfaces. I will be using the infamous Lenna. Image to demonstrate how the same technique can be used to compress images and reduce file size. Now that we are working with a matrix, we can do some fun stat...

3

Exploring New York City Council Meetings Data

https://ryancquan.com/blog/2014/09/11/new-york-city-council-meetings-annual-trends

Exploring New York City Council Meetings Data. If you haven’t noticed from my previous blog posts on New York City 311 complaints. I am a huge fan of using data to improve local politics and municipal policies. We often hear of data science in the context of training recommendation engines for behemoths like Amazon and Netflix, but with cities like New York pushing for open data. Even a small-time data wrangler like myself can provide (hopefully) useful insights for my community. Let’s dive into the data!

4

In Yo Face Machine Learning

https://ryancquan.com/2014/12/15/knn-faces

In Yo Face Machine Learning. December 15, 2014. Varying the Training/Testing Set Divide. The goal of this project is to build a simple classifier using the k-nearest neighbors algorithm in order to identify unique faces from the Extended Yale Faces Database B. This task will require us to wrangle image data and create new features so that we can pass our data into our. And have the dimensions of 192 pixels by 168 pixels. To build our k-nearest neighbors classifier, we will take the following approach:.

5

Projects

https://ryancquan.com/projects

Predicting Sepsis in the Intensive Care Unit. Building a classifier on large-scale EHR data. To accurately predict a common hospital complication within the ICU and improve patient outcomes. Analytics: Naive Bayes, logistic regression, time-series forecasting, decision trees, support vector machines. Tools: PostgreSQL, Unix shell, R (ggplot2, caret), Python (sklearn). Analytics: sentiment analysis, natural language processing. Tools: R, Python. Mental Health and Substance Use in New York City. Analytics:...

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