In the last article we introduced Kaggle's primary offerings and proceeded to execute our first "Hello World" program within a Kaggle Kernel. In this article, we're going to move onto conducting our first machine learning experiment within a Kaggle Kernel notebook. To facilitate a gentle learning experience, we will try to rely on (relatively) simple/classic resources in regard to the selected dataset, tools, and algorithms. This article assumes you know what Kaggle is, and how to create a Kaggle Kernel. Note: although this article is focussed on the use of Kaggle Kernels, this experiment can be reproduced in any environment with the required packages.