Discover @praeducer Open Source projects

Paul Prae (@praeducer)

praeducer

Stars
34
Global Rank 448,285 (Top 16 %)
Followers 32
Following 254
Registered over 11 years ago
Most used languages

JavaScript
40.0 %

Python
20.0 %

C++
6.7 %

Prolog
6.7 %

HTML
6.7 %

Assembly
6.7 %

Java
6.7 %

PHP
6.7 %
Location 🇺🇸 United States
Country Total Rank 87,054
Country Ranking

Prolog
219

Assembly
2,026

big-data-analytics-for-competitive-advantage

For a course titled, "Big Data Analytics For Competitive Advantage", we researched trends in the film industry and applied predictive analytics to determine which types of movies would yield the highest return on investment. We performed web mining, data processing, data analysis, and data visualization to make our final prediction.

hashtag-tracker

A simple Node.js app to monitor a particular hashtag on Twitter.

conversational-agent

Neona is a chat bot that helps people understand artificial intelligence. People interacting with her will learn about the topics students of AI study.

htcodelivery

This data analysis project was part of a winning submission for the CODE category of HACKATHON clt MMXV. The results of these scripts could be used to help choose the initial market to test our app in.

evolve

A proof-of-concept for how genetic algorithms can be applied to improve the user experience of websites.

conversational-agent-functions

Neona is a chat bot that helps people understand artificial intelligence. People interacting with her will learn about the topics students of AI study.

prolog

Samples of work I wrote in Prolog (http://en.wikipedia.org/wiki/Prolog). Mostly for my course in Symbolic Programming (http://en.wikipedia.org/wiki/Symbolic_programming) at The University of Georgia (http://ai.uga.edu/).

genetic-experience-management

A prototype genetic algorithm (http://en.wikipedia.org/wiki/Genetic_algorithm) for optimizing the customer experience (http://en.wikipedia.org/wiki/Customer_experience#Customer_experience_management) of web-based user interfaces.

intro-to-data-science

Coursera: Introduction to Data Science by Bill Howe. https://class.coursera.org/datasci-002

networking

Projects from my course in Computer Networks (http://en.wikipedia.org/wiki/Computer_networks) at The University of Georgia (http://cs.uga.edu/).

HTML-tag-scorcher

Parses an HTML page and rates the tag usage against an arbitrary standard. This was the very first thing I ever wrote in PHP, written for an interview at Red Ventures.

neona-chat

This is the code behind our chatbot's (Neona's) website. It is based on a theme by Yegor Borisenco <[email protected]> called Moderat.

lambda-scrape-by-url

Given a URL, scrape the main content from the page. Configured for AWS Lambda.

assembly

An example of my abilities to talk to hardware. I took a course in Hardware Architecture (http://en.wikipedia.org/wiki/Hardware_architecture) at UGA (http://cs.uga.edu/) and learned Assembly (http://en.wikipedia.org/wiki/Assembly_language).

systems-programming

Code samples from my course in Systems Programming (http://en.wikipedia.org/wiki/System_programming) at The University of Georgia (http://cs.uga.edu/). In this Freshman/Sophomore level class I wrote some of my first lines of code in C and C++. This was also my first time working primarily in a Unix environment.