A Data Science Central Community
Added by Paul Black on July 12, 2018 at 4:00am — No Comments
Many social media, like Twitter, Facebook and etc, are evolving to become a source of information for people to scrape varied kinds of data, since microblogs on which users post real time messages shows millions of opinions about their attitudes or sentiment towards hot topics and current issues. Recently, I decided to learn how Regional sentiment analysis can help people to make specific decisions or policy…Continue
Added by Paul Black on March 20, 2017 at 2:30am — No Comments
(picture from www.re-work.co)
Most people keep close eyes on the top of the fast-moving technology trends. There’s no doubt that deep learning is most trending buzzwords today. Deep learning has made a significant breakthrough and is applied in many areas like facial recognition, recognizing images and AlphaGo Games. Thus…Continue
Added by Paul Black on December 14, 2016 at 11:30pm — No Comments
As a part of Twitter Data Analysis, So far I have completed Movie review using R& Document Classification using R. Today we will be dealing with discovering topics in Tweets, i.e. to mine the tweets data to discover underlying topics– approach known as Topic Modeling.
Added by suresh kumar gorakala on December 23, 2015 at 8:30pm — No Comments
Originally posted here.
Added by suresh kumar gorakala on October 13, 2015 at 6:30am — No Comments
In my previous blog I have explained about linear regression. In today’s post I will explain about logistic regression.
Consider a scenario where we need to predict a medical condition of a patient (HBP) ,HAVE HIGH BP or NO HIGH BP, based on some observed symptoms – Age, weight, Issmoking, Systolic value, Diastolic value, RACE, etc.. In this…
Added by suresh kumar gorakala on October 9, 2015 at 9:13am — No Comments