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ar-exercises

ActiveRecord stretch exercises

bit-fit

blogr

Blog application project to pursue a deeper understanding of the development process from a more senior viewpoint.

bootcampx

cats

cmpe_452

Neural Networks and Genetic Algorithms. The Iris Perceptron is the classic "Hello World" introduction to Neural Networks. Wine Quality Prediction is my first practical experience with back-propagation methods. Sound Cleaning is not very impressive compared to the work that went into the first two, but it separated the noise from a sound file to show additional uses of Neural Network.

coingecko-btc-price

A front-end application that checks the current price of BTC in a given fiat currency for a specified amount.

facebookvr

A proof of concept for a Human-Computer Interaction course to that would imitate Facebook based on research of user schemas in the exisiting Facebook application.

git-mania

Git Collaboration Exercise

hungryheroes

iss_spotter

javascripting

Inital bootcamp work.

json_the_cat

jungle-rails

katas

lightbnb

lightcoin-crypto

LightCoin (LHL) Crypto App

lighthouse-js-fundamentals

Lighthouse Prep Modules

lighthouse-web-notes

Notes from Lighthouse

lotide

A library that is a lighter version of lodash.

nextjs-blog

nextjs tutorial application

page-fetcher

profile_generator

ravens-blog

A blog run by Raven.

scheduler

scheduler - first react application through lighthouse labs

scheduler-api

simpsonsneuralnetwork

The final project of CMPE 452. The purpose of this project was tackle a practical problem by constructing several neural networks and comparing their effectiveness to determine the best solution. Our team devised methods of identifying different cartoon characters in frames from the show: The Simpsons.

snake-client

spinner

timer