Category Archives: Regression Model

Predict User’s Return Visit within a day part-3

22.10.2012

Welcome to the last part of the series on predicting user’s revisit to the website. In the  first part of series, I generated the logistic regression model for prediction problem whether a user will come back on  website in next 24 hours. In the second part, I discussed about model improvement and seen the model accuracy…. Read More

Logistic Regression with R

22.10.2012

Logistic Regression In my first blog post, I have explained about the what is regression? And how linear regression model is generated in R? In this post, I will explain what is logistic regression? And how the logistic regression model is generated in R? Let’s first understand logistic regression. Logistic regression is one of the… Read More

Product revenue prediction with R – part 3

08.10.2012

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… Read More

Product revenue prediction with Google Prediction API

28.09.2012

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… Read More