This tutorial will provide a beginner introduction to scikit-learn. Scikit-learn is a Python package for machine learning. This tutorial will be subdivided into three parts. First, we will present how to design a predictive modeling pipeline that deals with heterogeneous types of data. Then, we will go more into detail in the evaluation of models and the type of trade-off to consider. Finally, we will show how to tune the hyperparameters of the pipeline.
This tutorial will provide a beginner introduction to scikit-learn. Scikit-learn is a Python package for machine learning. This tutorial will be subdivided into three parts. First, we will present how to design a predictive modeling pipeline that deals with heterogeneous types of data. Then, we will go more into detail in the evaluation of models and the type of trade-off to consider. Finally, we will show how to tune the hyperparameters of the pipeline.
Speakers: Arturo Amor Arkadiusz Trawiński, PhD