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android-appusagestatistics

aws-sdk-android-samples

This repository has samples that demonstrate various aspects of the AWS SDK for Android, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-android/

datasciencecoursera

This is my first assignment in Data Science by Coursera

datasharing

The Leek group guide to data sharing

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

face_recogniser

Real-time video face recognizer using OpenFace

face_recognition

Real time facial detection and detection using OpenCV, dlib and OpenFace

face_recognition-1

The world's simplest facial recognition api for Python and the command line

gender-age-classification-cnn

My final course project for CSCI 8360 Data Science Practicum course. This project focuses on gender and age classification based on images using convolutional neural networks.

igraph

Library for the analysis of networks

live-age-gender-estimator

Live Age and Gender Estimation in the Wild

nrldashboard

nyt-bar-optimizer

Optimize your liquor cabinet using cocktail recipes from cooking.nytimes.com

php_boolean_full_text_search

Function that convert the text in full text search format

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

rfacebook

Dev version of Rfacebook package: Access to Facebook API via R

sentiment-analysis-on-finance-data

The application is a cloud service that provides the functionality of performing sentiment analysis on stock market and financial data. The application can be hosted on Google App Engine and makes use of many of the GAE services like Search Service, MemCache, DataStore etc. Given the name of a company, data from various sources like Twitter, Facebook Graph, Google News, Google Finance etc is aggregated. For each source, different models have been pretrained using some prior data. Using different models provided us with a chance to utilize different Machine Learning methodologies based on the type of data from each source. The various techniques that we have built and tested on are :Naive Bayes, Multinomial and Bernoulli text representations, KNN.

shiny-apps

R Shiny apps

shiny-examples

spoon-knife

This repo is for demonstration purposes only.

testrepo

This is a test repository

text_search_engine

This is a search engine which can answer Boolean Queries, Phrase Queries and Wild Card Queries.

twitter_ideology

Replication code for the paper "Birds of a Feather Tweet Together. Bayesian Ideal Point Estimation Using Twitter Data"