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| Title & Speakers | Event |
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Predicting Delivery Risks with Machine Learning: A TrustCourier Innovation
2025-01-14 · 20:35
Claudia Stangarone
– Data analyst
@ GLS Studio
,
Helen FitzGerald
– Data analyst
Claims in logistics, especially for lost parcels or delivery issues, can be a significant cost for companies. In this talk, we’ll present the framework and share some early results of a new feature within TrustCourier. This feature uses machine learning to predict and flag high-risk deliveries before they escalate into costly claims. |
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Writing a custom scikit-learn estimator
2025-01-14 · 19:25
Tamara Atanasoska
– Open Source Software Engineer
@ :probably..
Scikit-learn is a popular machine learning library. It currently has over 200 estimators ready to use for a vast array of use cases. What if you are working on something special that still hasn't found its way into the library? Scikit-learn offers a way to write new compatible estimators, which can be seamlessly integrated with the rest of the library. We will look into what an estimator is, what API that scikit-learn estimators have, reasons why you would like to implement your own and an example of how to. We will end with real-world examples of how other OSS projects use this for their needs. |
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Contributing to OpenSource - how to get started in 5 minutes!
2025-01-14 · 19:20
Stefanie Senger
– Open source developer
@ :probabl.
This talk will introduce scikit-learn users to the new API for metadata routing, a feature introduced in the recent releases and almost fully available since version 1.5 (released in May 2024). |
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