R-Society

Time Series Data, QuantMod, ARIMA Now we assume that by reading our last blog your interest in the field of analytics might have peaked a bit. This post of ours would like to increase that a bit further. In today’s blog we’ll deal with Stock Market Prediction using data mining techniques in R. People who have worked in this field might know about this, as it is one of the most basic applications of data mining. Newcomers do not worry. Go through the blog and get an idea of how powerful data analytics is. We are going to start with our course in the very next blog. Additional references for each topic are also provided at the end. Although the project is small, there is a lot of ground to be covered before we actually proceed with the code. Let’s go! Introduction The standard Wikipedia definition of a stock market is “ A   stock market ,   equity market  or   share market  is the aggregation of buyers and sellers (a loose network of economic transactions, not a phy

AI, Image Analysis and Convolutional Neural Networks. Analysts! After the overwhelming response received for our introductory blog here we are (quite ahead of schedule) with the very first blog of the first block. It covers recent technological advancements and applications of data science and machine learning. Before you start reading we must inform you that you should continue reading only if you have a basic understanding of the commonly used data-mining and machine learning techniques. This article would actually go slightly above the beginner level at this point of time. However this is just a brief overview and not a tutorial. For readers who are new to data science or machine learning algorithms, do not worry ‘cause in two weeks’ time we will be uploading the very first data science session with Introduction to R and basic R programming overview. Now this is the buzz-word of our generation and perhaps for generations to come. What is it that you keep listening