Science Session List

Keynote plenary

5 Years, 10 Sprints, A scikit-learn Open Source Journey

Reshama Shaikh

Community, Science, Statistics

In this keynote, I will share highlights, challenges and lessons learned. (https://www.dataumbrella.org/sprints).

Talk pydata-machine-learning-stats

`python-m5p` - M5 Prime regression trees in python, compliant with scikit-learn

Sylvain Marié

Algorithms, Predictive Modelling, Science

`python-m5p` is an implementation of the M5P algorithm compliant with scikit-learn.

Tutorial pydata-visualization

Easily build interactive plots and apps with hvPlot

Philipp Rudiger, Maxime Liquet

Data Visualization, Jupyter, Science

Do you use the .plot() API of pandas or xarray? Do you ever wish it was easier to try out different combinations of the parameters in your data-processing pipeline? Follow this tutorial to learn how to easily build interactive plots and apps with hvPlot.

Tutorial pydata-pydata-scientific-libraries-stack

Reproducible machine learning and science with python

Prabhant Singh

Best Practice, Community, Science

Learn how to create reproducible workflows, benchmarks and studies with openml-python