34 | | === Introduction to symbolic regression === |

35 | | === Introduction to symbolic classification === |

| 35 | === [wiki:Documentation/VideoTutorials/SymbolicRegression Symbolic Regression with HeuristicLab] === |

| 36 | This tutorial covers the basic functionality for symbolic regression and for analyzing symbolic regression models in HeuristicLab. |

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| 38 | First, we demonstrate how to load data and how to use genetic programming to produce symbolic regression models. After that, all charts and visualizations for symbolic regression models are shown and the functionality for model analysis, simplification, and tuning is explained in detail. At the end of this tutorial we show how symbolic regression models can be exported to MATLAB, LaTeX and Excel. |

| 39 | |

| 40 | === [wiki:Documentation/VideoTutorials/SymbolicClassification Symbolic Classification with HeuristicLab] === |

| 41 | In this video tutorial the basic steps necessary to perform symbolic classification with HeuristicLab are covered. As exemplary data the mammography dataset from the UCI machine learning repository is chosen and modeled by genetic programming. You can see how the problem and the algorithm are configured and after the algorithm is finished the resulting model is analyzed. |