React Native VS Scikit-learn

React Native Reviews

Scikit-learn Reviews

React Native mentions (212)

• Understanding security in React Native applications

  Recently, there has been a notable shift in mobile application development practices. Rather than creating separate applications for each native platform, many developers are opting for hybrid mobile frameworks like React Native. - Source: dev.to / 28 days ago

• Creating Nx Workspace with Eslint, Prettier and Husky Configuration

  React Native [ https://reactnative.dev/ ]. - Source: dev.to / about 1 month ago

• Introduction to JavaScript: Empowering Web Development with Interactivity

  Versatility: JavaScript is not limited to web browsers. It's used in a variety of environments, including mobile app development (using frameworks like React Native), game development (using libraries like Phaser), and even serverless computing (using platforms like AWS Lambda). - Source: dev.to / about 1 month ago

• Design Principles and Best Practices in React Native App Development

  In the competitive landscape of mobile app development, user experience (UX) has emerged as a critical differentiator. React Native, with its robust framework and versatile capabilities, offers developers a powerful toolkit to create seamless and engaging user experiences. This blog post delves into the design principles and best practices in React Native app development, uncovering how developers can elevate user... - Source: dev.to / about 1 month ago

• React Native and Flutter: A Developer's Dilemma

  You can find the React Native documentation here and Flutter Documentation here. - Source: dev.to / about 1 month ago

Scikit-learn mentions (27)

• 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 / 11 months 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: 12 months 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: 12 months ago

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago