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We have two different datasets that we are planning to analyze. Our first datasets comes from the Consumer Financial Protection Bureau [2]. The data attributes that can be found in this data set includes the the types of complaints (credit card, debit card, money transfer, and etc), issues of the complaints, sub-issue (identity theft, dispute, etc.), location and date of complaints, the company who received the complaint, the company response and if the complaints were made public are also documented. The Consumer Complaint Database is collected from 524,829 complaints, on a range of consumer financial products and services, sent to nearly 3,000 companies for response. Consumer Financial Protection Bureau doesnโt verify all the facts alleged in these complaints, but they take some special steps to confirm a commercial relationship between the consumer and the company. The database contains consumer complaints from July 2011 until now. The database continue to generally update nightly. The second dataset we will be analyzing is from the United States Census Bureau. The data attributes include the location (states and counties), population, poverty levels, and estimate of people of all ages in poverty. Given the attributes that can be obtained in these data sets we hope to find the most frequent states-set for each complaint type(credit card, debit card, money transfer, and etc). These data sets attributes can be used to possibly predict what types of complaint are mostly likely or can occur in the next month or year. Correlation between the rate of state population change and rate of state consumer complaints change can also be made using the data sets attributes.
Everything I've done and learned from the Big Data HCI course
Basic TCP Web Server in C
A donation desktop application that provide a platform that connects donors and non-profit organizations. Donors can donate directly to non-profit organizations. Non-profit organizations set up a fundraising events and collect donations from donors. Non-profit organization can keep track of donation amounts and donors information.
CU CS3753 - Operating Systems - Multi-Threading Assignment
CU CS3753 - Operating Systems - Scheduler Benchmarking Assignment
Continuous Integration Practice
Assignment to practice the creation and use of archives
For going around proxy
The MapD Core database
Play with and instantly visualize hundreds of millions of realtime tweets, from the global level all the way down to your neighborhood.
Source code for "Operating System Concepts" - 9th Ed.
Using to work on Project 3308
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.