Kan will be introducing Decision Tree, which is one of the machine learning algorithms that build prediction models based on the patterns inside the data, by demonstrating it with Exploratory’s Analytics view.
Inc. to democratize Data Science. Prior to Exploratory, Kan was a director of development at Oracle leading development teams for building various Data Science products in areas including Machine Learning, BI, Data Visualization, Mobile Analytics, Big Data, etc. While at Oracle, Kan also provided training and consulting services to help organizations transform with data. @KanAugust Instructor
determined by comparing weighted average of Gini impurity. • The lower the Gini impurity is, the more cleanly the data points are classified without branches with mixed classification results. • Variable with the smallest weighted average of Gini impurity is picked for making next branch. Gini Impurity