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"description": "This tutorial will offer an overview of common usage and methodological\npatterns when using Scikit-Learn to build predictive models. In\nparticular we will highlight common strategies to deal with data with\nheterogeneously typed attributes with pandas dataframes, model\nevaluation and tuning. Finally if time permits we will explore the\nspecificities of working with textual data.\n",