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Based on our record, Scikit-learn should be more popular than StatusPage.io. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
That would indicate that they would not even use the automated checks from statuspage.com. Source: over 2 years ago
Shows service health, incident updates under categories like statuspage.io does? Source: over 3 years ago
That still means the back-up method requires AWS services to be up. AWS is blessed with an interesting problem: using AWS is widespread enough that it would be hard for them to guarantee a third-party hosting their status page did not depend on them in some way. For 99.999% of companies, buying a SaaS like statuspage.io is sufficient to make sure your downtime doesn't take down your status page provider. - Source: dev.to / over 3 years ago
I signed up for reports from statuspage.io which tends to spam me with network updates, but I like to see that that they are really working on it from hour to hour so I'm happy to get the spam. It's just ironic that I posted this and got the API issues email within minutes. Source: over 3 years ago
We setup a statuspage.io account a year back or so and push some aggregated metrics to indicate current service/system status. Best part is we can post updates to any outage / issue and it gets mailed to anyone who subscribed. Source: over 3 years ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 6 months ago
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 12 months ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / over 1 year ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
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