In the previous part of the cycle entitled ‘Kaggle with SAS – first steps with data’, we explored data by means of SAS University Edition (hereinafter referred to as SAS UE) to get familiar with their basic characteristics. This time we will handle the initial data preparation and develop a simple classification model using logistic regression.

The statistical data concerning implementation of projects of different size, using agile methodologies, indicate on the average 350% more successful implementations in comparison with the cascade approach. In the large project category, as many as 600% more Agile implementations were successful in comparison with standard cascade implementations (source: CHAOS Report 2015).

The Kaggle platform for analytical competitions and predictive modelling founded by Anthony Goldblum in 2010 is currently known almost to everyone who had contact with the area called Data Science. Thanks to its rich database, simplicity of operation and especially the community, it has become hugely popular over the years.