ben-var

clubsconnect

Help people find and join new clubs. This is being developed by a group of developers from the Grow with Google Android Development Scholarship course.

CS-7641-assignments

CS 7641 - All the code

markov-decision-processes

MCC-CompSci.github.io

MCC-CompSci website development repository.

Pokemon-Team-Optimizer

This program will suggest additions to a Pokemon team based on your current team.

popularmovies

Android app that provides information about the most popular and highly-rated movies based off a live movie database.

randomized-optimization

Runescape-Grand-Exchange-Market-Data

Years of Runescape Grand Exchange data collected from grandexchangewatch.com. Cleaned, pruned for duplicates, and some analysis.

sandwich-club-starter-code

Android Nanodegree Sandwich Club starter code

supervised-learners-compared

Comparison of many of the core ML algorithms on two different datasets using sklearn

ben-var/Pokemon-Team-Optimizer

This program will suggest additions to a Pokemon team based on your current team.

ben-var/clubsconnect

Help people find and join new clubs. This is being developed by a group of developers from the Grow with Google Android Development Scholarship course.

ben-var/CS-7641-assignments

CS 7641 - All the code

ben-var/markov-decision-processes

ben-var/MCC-CompSci.github.io

MCC-CompSci website development repository.

ben-var/popularmovies

Android app that provides information about the most popular and highly-rated movies based off a live movie database.

ben-var/randomized-optimization

ben-var/Runescape-Grand-Exchange-Market-Data

Years of Runescape Grand Exchange data collected from grandexchangewatch.com. Cleaned, pruned for duplicates, and some analysis.

ben-var/sandwich-club-starter-code

Android Nanodegree Sandwich Club starter code

ben-var/supervised-learners-compared

Comparison of many of the core ML algorithms on two different datasets using sklearn

ben-var/tweet2vec

Twitter hashtag prediction

ben-var/unsupervised-learning-and-dim-reduction

A deep dive into dimensionality reduction and unsupervised learning techniques. Various experiments were performed on two large classification data sets to quantify the data preservation/loss resulting from dimensionality reduction techniques, as well as experiments and analysis on unsupervised learning techniques for unlabeled data.

ben-var/VISR

Visualizing Institutional Scholar Relationships using D3.js, JavaScript, HTML, and CSS after processing 330GB of data from Microsoft Academic Graph using Hadoop and Python