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ai_classifier

athena

chenghaoliu

chess

classifier_machinelearning

Classifier_MachineLearning -- use JAVA and the weka API General Classification Use the MultilayerPerceptron classifier (use the default configuration that is set by the no argument constructor) and the dataset glass.arff. a) Train the classifier on the first N percent of instances. The testing data will be the last 100-N percent of the instances. i) For each N={10,30,50,70,90} report the accuracy of the classifier over the training data and the accuracy over the testing data. ii) Plot accuracy on training data vs. N and accuracy on testing data vs. N on the same plot b) Use n-fold cross validation to evaluate the accuracy (as a percentage) of the classifier over the dataset. Do this for n={2,5,10,15,20}. Hint: The Evaluation class in weka can do cross validation. i) Plot the accuracy vs n. ii) Plot the time taken by cross validation vs. n. see more in readme.

cloud-based_data_store

cs440hw4

cs465

cs465projectv2

cs465 project version 2

game_acr

interval

intervalapp

interval app for airline and activities

mapreduce

my_github

nosql-client

video.js

Video.js - open source HTML5 & Flash video player

web_server

a simple HTTP web server - an application that almost every company in the world runs. The web server should be able to respond to any page request, given the requested page is stored locally (i.e., on the same system in which the server is running). You can use any web browser (such as Firefox) as a client for my HTTP web server. program can: accepts connections from web browsers reads in the packets that the browsers send prepares and sends a response for the web browser from a local file

yelp-api

Examples of code using our API

yelp-ruby

A Ruby gem for communicating with the Yelp REST API