Most popular in the family of ensemble models is the Random Forest: an ensemble made by the combination of a large number of decision trees.

In traditional software delivery methods, the estimates are measured in terms of man days or calendar days. The Agile teams use Story...

Decision Trees are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that pr

A regression model has to be as simple as possible, but no simpler. Simpler models are more generalizable and require fewer training...

When we think of linear regression models, we imagine straight lines. Curves are associated with non linear models. Here's a catch -...

Its celebration time at Google as GKE (Google Kubernetes Engine) just turned five. But what does Kubernetes mean for a five year old?...

Having this eerie feeling that there's something not right in your job? It may not be just a hunch rather it could be an indication of...