KNIME Analytics: a Review

This video shows a general review of the analytics capabilities of the KNIME Analytics Platform. Here we only mention: Random Forest, Deep Learning, Gradient Boosted Trees, Bagging and Boosting for ensemble methods, Decision Trees, Neural Networks, Logistic Regression, how to build your own ensemble model, and external integrations as Weka, H2O, R, and Python. This is what we show here, which for time reasons, is of course incomplete. Download and install KNIME Analytics Platform (https://www.knime.com/downloads) to explore the constantly growing set of machine learning and statistics algorithms available to analyze your data.