Azure ML is the Microsoft cloud based Machine Learning tool. It provides a variety of algorithms for performing descriptive, predictive, and prescriptive analysis. Moreover, it supports a variety of data science techniques for data wrangling, feature selection, cross validation, and so forth for enhancing accuracy. In this session, we talk about how to do feature selection in Azure ML to find proper attributes. Also, we demo how to do data sampling and cross validation using existing components in Azure ML which will help to enhance machine learning accuracy.