![]() ![]() Use both classical methods like MLR and logistic regression, and data mining methods like CART and neural networks, and compare their predictive powerīuilt in time series analysis tools including:.Use a range of supervised and unsupervised learning techniques for continuous and categorical data.Use visualization aids from simple bar, line and histogram charts to multiple linked charts, one-click changes to axes, colors and panels, zooming, brushing and more.Powerful tools for analysis and prediction including: Partition your data into training, validation, and test datasets.Clean your data with a comprehensive set of data handling utilities including categorizing data and handling missing values.Sample data from virtually any database, including Microsoft's PowerPivot in-memory database handling 100 million rows or more.
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