Description

IBM SPSS Modeler (formerly Clementine) is a visual data science and machine learning (ML)-based drag-and-drop data exploration solution designed for data scientists. It enables users to drive ROI and accelerate time, read data from flat files and spreadsheets, automatically transform data into a format for predictive modeling, analyze data, identify fixes and derive new attributes, test multiple modeling methods and compare results, optimize business processes for optimum team productivity, as well as explore geographic data (postal codes and addresses). Features include server analytics, Scikit-learn and Tensorflow support, customer feedback analytics, Jupyter Notebooks support, and spatiotemporal prediction.