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adw

conceptualsearch

Python code for training Word2Vec model on documents

coursera-getting-and-cleaning-data

Repo for Coursera.com online course: Getting and Cleaning Data

coursera-r-programming

Notes from the R programming Coursera course

coursera-r-programming-1

Repo for Coursera.com online course: R Programming

coursera_programming-r

Code I wrote for the Fall 2012 Coursera Computing for Data Analysis (R) class

create-your-own-adventure

data-analysis-and-statistical-inference-

Duke University MOOC using R

data-analysis-coursera

Computing for Data Analysis (Winter 2013)

data_analysis_and_statistical_inference

Course work for Data Analysis and Statistical Inference from Duke University (Spring 2014)

datasharing

The Leek group guide to data sharing

docx4j

JAXB-based Java library for Word docx, Powerpoint pptx, and Excel xlsx files

dsmmodule

DSMModule (Distributional Similarity Measures Module) aims at offering the user with a simple, yet efficient program capable of measuring and ranking either sentences or documents based on their similarity scores. Decisions at the outset of compiling a comparable corpus are of crucial importance for how the corpus is to be built and analysed later on. The DSMModule brings together methods from different areas of knowledge with the purpose of accessing, measuring and ranking documents based on their shared content, and consequently help researchers decide whether a specific document should be integrated in the corpus or not.

excitement-open-platform

Excitement Open Platform for Recognizing Textual Entailments

funda-scraper

Scraper of the Dutch real estate website www.funda.nl, implemented in Python with Scrapy

hackerrank-algorithms

hackerrank-contests

hackerrank-python

hackerrank-regex

hpcosta.github.io

icompilecorpora

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

lxmls-toolkit

Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

machine_learning_examples

A collection of machine learning examples and tutorials.

preprocessor

PreProcessor is a program that helps users to process and annotate raw textual data. Despite various Part of Speech taggers, Lemmatisers, Stemmers, Named Entities Recognisers, Sentence Splitters, Tokenisers and Stopword Checkers can be used for this purpose, they are independent programs built for only one specifically purpose (e.g. identify the word's stem). Thus, when users want to use more than one or import them in their own programs/ applications, their integration turns to be really complex and time-consuming. As an attempt to fulfil this gap, PreProcessor aims at offering the user with a simple, yet robust and agile variety of morphosyntatic options to process and annotate raw textual data by taking advantage of the best known open-source libraries on the market.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

recipes

reflections

resume-parser

Python program to analyze resume (word document) using a generated set of keywords

resumeparser

Resume Parser using rule and machine-learning based approach. Developed using framework provided by GATE