Stefanie Sabine Senger
Historian (PhD) that went astray. I'm teaching Data Science to career changers at Le Wagon and started contributing to scikit-learn during the last months.
Session
Update: Here, I provide a prepared jupyter notebook for your to fill with code during the tutorial: https://github.com/StefanieSenger/Talks/blob/main/2023_EuroSciPy/2023_EuroSciPy_Intro_to_scikit-learn_fillout-notebook.ipynb. Please download it and have it at hand when the tutorial starts. You can still download it during the introduction part of the tutorial.
This tutorial will provide a beginner introduction to scikit-learn. Scikit-learn is a Python package for machine learning. We will talk about what Machine Learning is and how scikit-learn can implement it. In the practical part we will learn how to create a predictive modelling pipeline and how to fine tune its hyperparameters to improve the model's score.