Scikit-learn now makes it easier to explore estimators by displaying their parameter values and allowing them to be copied. In the next release, each parameter will also include a short documentation preview and a link to the full reference page. More enhancements are on the way to make model inspection even richer and more intuitive. This work blends front-end development with Python. Dea's path into open source and the PyData ecosystem started with a desire for a new career direction and a lifelong curiosity for technical challenges.
talk-data.com
D
Speaker
Dea Maria Leon
1
talks
Freelance open-source developer
NumFOCUS
About Dea: Freelance open-source developer currently contracted by NumFOCUS to contribute to Scikit-learn. Previous collaborations include work on pandas (NumFOCUS) and pydata/Sparse (Quansight Labs). Former Electrical Engineer with experience in manufacturing in Mexico and the U.S., later transitioning into business and financial analysis after completing an MBA in Finance. Self-taught in software development, with professional opportunities emerging through PyData, PyLadies, and WiML sprints led by Scikit-learn and pandas core developers.
Bio from: PyLadies Paris Python Talks #21
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