08-30, 10:30–12:00 (Europe/Zurich), HS 118
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.
Introduction to machine learning using scikit-learn
Domains –Machine Learning
Expected audience expertise: Domain –none
Expected audience expertise: Python –none
Product Lead/Data Scientist in ING for 2 years. Mainly working on optimization of tech infrastructure. Graduated Computer Engineering and Physics. PhD in Hight Energy Physics.