Monitors your Sites' uptime, security, performance, Domain Name Expirations, and SSL Certificates 24/7. Netumo is not just an uptime monitor but a console to manage all your sites and ensure they are healthy. Check the performance of your site, the SEO and best practices as well as run vulnerability scans on the site.
Netumo also informs you if there is any downtime immediately via one of our integrated message platform, such as Email, SMS, Twilio, Webhooks, Slack, Webex and Microsoft Teams.
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Netumo's answer:
Netumo is not just an uptime monitoring platform. It offers more as uptime is just one part of a healthy website. Security, SEO checks and more are all as important.
Netumo's answer:
Netumo is unique as it offers various checks that truly check the if a website is healthy such as the vulnerability assessment, the performance, and more. It not only gives the problem but provides points on how to solve the issues.
Netumo's answer:
Any organization that has multiple websites and portals that need to be monitored and checked that they are running smoothly.
-Web Developers -Web Agencies -IT Departments that manage multiple portals and websites
Netumo's answer:
Netumo started as we saw a gap in the market from online tools that just check uptime and do not check other aspects of a website. It is vital for any organization that manages multiple websites to have a central console where they can see them all and check them not just that they are alive, but their security is fine and that they are truly healthy.
Netumo's answer:
Netumo is running on Microsoft Azure. It also does use several open source technologies to keep some checks running smoothly such as Lighthouse from Google Chrome, Nuclei, and also Azure Open AI.
A tool that I've introduced at my work place and for sure made it a lot easier for staff (DevOps/SysOps/NOCs/Managers,etc) to monitor Domains, Hosts, APIs, SSL Certs and more. Highly recommended to have this monitoring buddy at hand :)
Netumo is a very flexible tool that has all the features of any website monitoring service at a fraction of the price! My preferred feature is the Keyword Content Notification, where Netumo not only checks if the site is up but can check for certain content! Highly Recommended!
I thought Netumo was very useful for me. Was always notified when my website had issues. I liked the new UI very much and also found the new response time report very useful. Very easy to use and very good value for money especially since the prices were very affordable. Being a student I thought the free plan was very convenient to test out my new website.
Based on our record, Scikit-learn seems to be more popular. 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.
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 / 3 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 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 / 11 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 / about 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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