Guillaume Lemaitre
Appearances by year
- PyData
- JupyterCon
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 30, 2025 | PyData Paris 2025 | PyData | talk | Skrub: machine learning for dataframesSkrub is an open source package that simplifies machine-learning with dataframes by providing a variety of tools to explore, prepare and feature-engineer…Show lessSkrub is an open source package that simplifies machine-learning with dataframes by providing a variety of tools to explore, prepare and feature-engineer dataframes so they can be integrated into scikit-learn pipelines. | Video |
| Sep 25, 2024 | PyData Paris 2024 | PyData | talk | An update on the latest scikit-learn features In this talk, we provide an update on the latest scikit-learn features that have been implemented in versions 1.4 and 1.5. | |
| Apr 22, 2024 | PyCon DE & PyData Berlin 2024 | PyData | talk | A Retrieval Augmented Generation system to query the scikit-learn documentation as :probabl. The scikit-learn website currently employs an "exact" search engine based on the Sphinx Python package, but it has limitations: it cannot handle spelling…Show lessThe scikit-learn website currently employs an "exact" search engine based on the Sphinx Python package, but it has limitations: it cannot handle spelling mistakes and queries based on natural language. | |
| May 10, 2023 | JupyterCon 2023 | JupyterCon | tutorial | Predictive survival analysis and competing risk modeling with scikit-learn, scikit-survival, lifelines, Ibis, and DuckDBWhile the tutorial attendance is comprised in the conference pass, we ask you to register for this tutorial on https://www.jupytercon.com/tickets as the seats…Show lessWhile the tutorial attendance is comprised in the conference pass, we ask you to register for this tutorial on https://www.jupytercon.com/tickets as the seats available are limited. -- Tutorial notebooks: - https://github.com/soda-inria/survival-analysis-benchmark According to Wikipedia:... | |
| Apr 11, 2022 | PyCon DE & PyData Berlin 2022 | PyData | tutorial | Inpsect and try to interpret your scikit-learn machine-learning models as Inria Inspect and try to interpret your scikit-learn machine-learning models |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Jeremy Tuloup | 4 | — | 2025 |
| Tim Paine | 4 | — | 2025 |
| Cheuk Ting Ho | 4 | — | 2024 |
| Olivier Grisel | 3 | 1 | 2025 |
| Alexander CS Hendorf | 3 | — | 2025 |
| David Brochart | 3 | — | 2025 |
| Emanuele Fabbiani | 3 | — | 2025 |
| Johan Mabille | 3 | — | 2025 |
| Thorsten Beier | 3 | — | 2025 |
| Joris Van den Bossche | 3 | — | 2024 |
| Katharine Jarmul | 3 | — | 2024 |
| Marco Gorelli | 3 | — | 2024 |
| Alenka Frim | 2 | — | 2025 |
| Alexandre Abraham | 2 | — | 2025 |
| Alix Tiran-Cappello | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.