255 search results for "Web Scraping"

Cricket data analysis

September 4, 2010
By
Cricket data analysis

Cricket World Cup 2011 is approaching and I'm interested in analyzing one day international cricket data to predict some results and share interesting information about cricket.  For the analysis, I need cricket data and tried several things to ge...

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What to Expect?

January 22, 2010
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What to Expect?

In 2007, I was introduced to Twitter via the written qualifying exam towards my Ph.D.. At first, I did not know what to do with it. After a good year or so (maybe even sooner) passed, I began to follow some very interesting people that share the same interests as me. It has transformed my academic experience. It is...

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How many calories should you eat per day?

July 6, 2016
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How many calories should you eat per day?

How many calories should you eat per day, based on your age, sex, and activity level? Here are the US government's recommendations. The post How many calories should you eat per day? appeared first on Decision Science News.

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satRday conference in September 2016 at Budapest

June 23, 2016
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satRday conference in September 2016 at Budapest

As you probably already know, satRdays are go -- and the location of the first three events in the series is now also decided:Budapest, HungarySan Juan, Puerto RicoCape Town, South AfricaTo help to organize such community-driven, regional R conferences...

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LDAvis Show Case on R-Bloggers

June 21, 2016
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LDAvis Show Case on R-Bloggers

Text mining is a new challenge for machine wandering practitioners. The increased interest in the text mining is caused by an augmentation of internet users and by rapid growth of the internet data which is said that in 80% is a text data. Extracting information from articles, news, posts and comments have became a desirable skill but what...

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Introduction to R for Data Science :: Session 8 [Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression]

June 21, 2016
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Introduction to R for Data Science :: Session 8 [Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression]

Welcome to Introduction to R for Data Science, Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression [Web-scraping with tm.plugin.webmining. The tm package corpora structures: assessing document metadata and content. Typical corpus transformations and Term-Document Matrix production. A simple binomial regression model with tf-idf scores as features and its shortcommings due to sparse data....

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Introduction to R for Data Science :: Session 8 [Appendix]

June 20, 2016
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Introduction to R for Data Science :: Session 8 [Appendix]

Appendix to Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic RegressionWelcome to Introduction to R for Data Science, Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression [Web-scraping with tm.plugin.webmining. The tm package corpora structures: assessing document metadata and content. Typical corpus transformations and Term-Document Matrix...

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Euro 2016 Squads

June 15, 2016
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Euro 2016 Squads

This weekend I was having fun in France watching some Euro 2016 matches, visiting friends and avoiding Russian hooligans. Before my flight over I scraped some tables on the tournaments Wikipedia page with my newly acquired rvest skills, with the idea to build up a bilateral database of Euro 2016 squads and their players clubs. … Continue reading...

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useResearch – Usage Analytics for R Functions, Pt.1

June 11, 2016
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useResearch – Usage Analytics for R Functions, Pt.1

useResearch This is the main part of the proposal Tyler Rinker and I submitted to the first ISC call for proposals by the R-Consortium. Our next post will describe useResearch: the solution we ended up building, despite not getting funded. Some details of the how part of our proposal have evolved in our development of...

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Curated list of R tutorials for Data Science

June 3, 2016
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Curated list of R tutorials for Data Science

Here is topic wise list of R tutorials for Data Science, Time Series Analysis, Natural Language Processing and Machine Learning. This list also serves as a reference guide for several common data analysis tasks. The R Language Awesome-R Repository on GitHub R Reference Card: Cheatsheet R bloggers: blog aggregator R Resources on GitHub Awesome R

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