While dealing with the data analytics projects, there are some fixed tasks that should be followed to get the expected output. So here we are going to build a data analytics project cycle, which will be a set of standard data-driven processes to lead data to insights effectively. The defined ... [Read more...]

By inspired from this Quora question, I have been started working on how can R and Hadoop integrated to be used together? By very hard verification process, finally I got the possible ways to use R and Hadoop together for performing Big Data Analytics. This blog post is written with ... [Read more...]

Unlike other posts on this blog this particular post is more focused on coding using R so audience with the developer mindset would like it more than pure business analysts. My goal is to describe an alternate method to use to extract the data from Google Analytics via API into ... [Read more...]

After development of predictive model for transactional product revenue -(Product revenue prediction with R – part 1), we can further improvise the model prediction by modifications in the model. In this post, we will see what are the steps required for model improvement. With the help of a set of model ... [Read more...]

After development and improvement  of predictive model with R (as in the previous blog), I have focused here about making a prediction with the R model ( linear regression model ) and comparison with the Google prediction API model. In statistical modeling, R will calculate intercept and variable coefficients to describe the ... [Read more...]

In my upcoming three blogs, I am going to discuss about how Product managers, Data analyst and Data scientists can develop model for the prediction of the transactional product revenue on the basis of user actions like total numbers of time product added to the cart, total numbers of time ... [Read more...]