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Aspect| Description
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Challenges | Machine learning will potentially be able to process much larger volumes of samples with known error margins. However it is also recognised that in many curren…
sjurl updated
4 months ago
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Issue 1: Data Collection
* Title: Improve data collection process
* Description: Currently, the data collection process for customer churn prediction is manual and time-consuming. We need to exp…
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Hello I am a contributor, I would like to contribute by creating the model to predict the breast cancer using EvalML(Automated Machine Learning library)
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/kind feature
Ref https://arxiv.org/pdf/2404.01037.pdf
> Auto-RAG: The idea of automatically optimizing RAG systems, akin to Auto-ML’s approach
in traditional machine learning, presents a signi…
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Many debugging tasks can be automated, can we, using Machine Learning and pywinauto, teach our machines how to debug our code (at least partially)?
I think this may be possible with *pywinauto* bec…
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[`check_estimator`](https://github.com/scikit-learn/scikit-learn/blob/f6b0c67290d3cbc8b099eb7559b4f42b84af2584/sklearn/utils/estimator_checks.py#L273) is a really powerful tool for deciding scikit-com…
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I think it would be useful to have an icon of, like, a brain made out of a distributed network? Or something else that immediately recalls the concept of AI.
The name doesn't have to be "artificial-i…
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After #4 has been resolved, we will implement Jenkins in order to perform automated unit testing.
**Note:** this issue corresponds to https://github.com/jeff1evesque/machine-learning/issues/204
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Azure Machine Learning Studio (classic) is retiring on 31 August 2024
**Deadline:** Aug 31, 2024
**Impacted Services:**
- Azure Machine Learning
**More information:**
- https://azure.microsoft.com/e…
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