Anvil is a powerful online platform that lets you build web applications with nothing but Python. It comes with two-click deployment, built-in user authentication, easy-to-use databases and loads more!
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Based on our record, Anvil.works should be more popular than Scikit-learn. It has been mentiond 95 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.
Anvil (https://anvil.works) | Developer Advocate | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide a GUI framework!) We’re... - Source: Hacker News / 5 days ago
Anvil.works - Web app development with nothing but Python. Free tier with unlimited apps and 30-second timeouts. - Source: dev.to / 5 months ago
Anvil (https://anvil.works) | Senior Developer | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide our own GUI framework!) We’re... - Source: Hacker News / 5 months ago
Have a look at https://anvil.works. - Source: Hacker News / 6 months ago
The problem with low-code platform is that you are always restricted and can't go beyond what they offer. And someday, you will run across a problem that you can never solve with that platform. But there is a better way to do it. In my experience Anvil is the fastest way to develop a web apps. It is a framework that lets you do everything including Frontend, Backend and Database using just Python. I started using... - Source: Hacker News / 10 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 / 22 days 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 / 4 months 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 / about 1 year ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
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