DevExtreme Reviews

Scikit-learn Reviews

DevExtreme mentions (4)

• Didact | A New .NET Job Orchestration Platform

  I was going to exclusively use DevExtreme for the entire UI, but I really, really like Tailwind CSS, so I think I'm going to use DevExtreme for the tables, filtering, and charting, and for the rest I think I might use something like Flowbite. Source: 12 months ago

• .NET Modern Task Scheduler

  DevExtreme components for powerful datagrids and filtering. Source: over 1 year ago

• Need a datagrid that allows to execute the mentioned feature requirement.

  I'm using DevExtreme in one of my project, which is a suite of components that's relatively cheap for what's included but powerful. The only downside is it's a general purpose library of components, so it doesn't always feel "Angular native". Other than that the included data grid can render custom content using a master-detail view. There's also a "tree list" component included if you need to visualize actual... Source: over 1 year ago

• MAUI, Blazor, Avalonia, Uno... isn't there a simple UI abstraction in .NET?

  Take a commercial framework which offers a lot of components and good support (like DevExpress DevExtreme for example) and build an SPA application with some sort of a REST backend. Source: over 1 year ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  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 / 16 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  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

• Link Prediction With node2vec in Physics Collaboration Network

  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

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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