Articles, Updates and more
Posts by author:
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 R. I have been using [...]
{ 9 comments }
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 summary parameters, the data [...]
{ 0 comments }
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 relationship between a [...]
{ 2 comments }
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 product added to the cart, [...]
{ 0 comments }
In this post, I am going to explain how can we build the model for transactional product revenue prediction with Google Prediction API as we already discussed same stuff (Product revenue prediction with R)on R. With the help of Prediction API, we can build prediction model without any programming. Here we just have to focus [...]
{ 0 comments }
