A Data Science Central Community
It is a known fact that development of sports activities is not a top priority in the national budget of most of the developing countries. It can also be established that sports activities are not an active part of the eductional system of most developing countries. I’ll not be wrong if I say that the investment into sports in developed countries is much higher than in the developing countries. Given this backdrop, a natural question that comes to mind is: “Will developed countries reap all…Continue
The latest buzz words, ‘data analytics’, has swept most of the Industries, as far as I have researched, and sports industry is no exception. Just like other industries, data analytics has found wide variety of applications within the sports industry. This includes players’ performance analysis, opposition strength/weakness analysis, in-game strategy analysis and a lot more. In this article, I have tried to cover some…Continue
In very simple words, the process of predicting the probability of an event using mathematical models is defined as predictive modelling. In different fields there has been a wide-spread application of predictive modelling. This is mainly for the purpose of decision making. Recently, the technological advancements have made it possible for predictive modelling to expands its reach within the healthcare sector.…Continue
With the development of web technologies, an increasing amount of opinions are published online every day!!
People rely on the reviews more than before to help determine the quality of product in which they are interested!!
We use the chatter data from Twitter.com to forecast box-office revenues for movies!!
The data that is being generated on the social networks as a result of human activities is commonly referred as Social Data. This is one of the largest streams of…Continue