Shrinkage Methods in Linear Regression

  Ever have a question that, “Why is Linear Regression giving me such good accuracy on the training set but a low accuracy on the test set in spite of adding all the available dependent features to the model?” The question above seems inexplicable to many people but is answered by a concept called...

Parametric data analysis for A/B test in marketing analytics

With the onset of digital world, everyday a number of new websites is being created trying to sell wide range of products and services. And sustaining in this highly competitive market is itself an art. Companies are hiring tech geeks to customize their website and services according to the response rate of customers. A...

How to avoid overfitting while training?

Overfitting happens mostly because the model becomes too complex. Such a model will give poor accuracies, as it memorizes the noise in the training data. A model is usually fit by achieving the highest accuracy on the training data set. However, its efficiency is judged by its its performance on test data. Overfitting occurs...