Data Cleansing Tools in Azure Machine Learning

Today, we'll discuss the impact of data cleansing in a Machine Learning model and how it can be achieved in Azure Machine Learning (Azure ML) studio. It is an important part of the Data Science Process as I discussed in my previous blog post. In this example, I'm using a credit scoring data set which has the following columns: The Data Set also have a column Status which is the label, that is, the column that we want to predict. The first step is of course to explore the data in Azure ML studio. By using the visualize feature of the data set, we can go through each column of the data set and view properties of each column such as Mean, Unique Values and Missing Values.