R Tutorial : Interpretation of R Squared and Adjusted R Squared in Regression

R Tutorial : Interpretation of R Squared and Adjusted R Squared in Regression

This tutorial talks about interpretation of the most fundamental measure reported for models which is R Squared and Adjusted R Squared.  We will try to give a clear guidelines for interpreting R Squared and Adjusted R Squared

Continue reading “R Tutorial : Interpretation of R Squared and Adjusted R Squared in Regression”

R Tutorial : Residual Analysis for Regression

R Tutorial : Residual Analysis for Regression

In this tutorial we will learn a very important aspect of analyzing regression i.e. Residual Analysis. Residual Analysis is a very important tool used by Data Science experts , knowing which will turn you into an amateur to a pro.
Continue reading “R Tutorial : Residual Analysis for Regression”

Machine Learning : Training Set – Validation Set – Test Set

Machine Learning : Training Set – Validation Set – Test Set

This tutorial talks about the importance of Testing set and Validation sets for predictive analytic algorithms and different techniques which can be wisely used to get a reliable measure of accuracy.

Continue reading “Machine Learning : Training Set – Validation Set – Test Set”

Machine Learning : Accuracy  & Memorization vs Learning

Machine Learning : Accuracy & Memorization vs Learning

This tutorial talks about various measures of accuracy in in various predictive analytics and machine learning scenarios. It also talks about potential pitfall of over fitting resulting in memorization vs the learning which is desirable.

Continue reading “Machine Learning : Accuracy & Memorization vs Learning”