The session would start with a brief introduction of the evolutionary transformation of SAS platform for about 5-7 min. Followed by a jump right into the more exciting part of the session with a demo on how to build machine learning models right from scratch. This session would also emphasize and cover the need for feature engineering before building any Machine Learning models. Many organizations still face resistance in building ML models due to loss of model interpretation, hence we will see how can ML models be interpreted in SAS with various out of the box statistics. The demo would also cover the AutoML functionality to give a kickstart for data scientist for developing and refining (if needed) the ML models.