Ruby on Rails VS Scikit-learn

Ruby on Rails Reviews

1. Stan

   | Founder at SaaSHub | 3 days ago
   The most productive web framework

   Yes, there are other more trending frameworks; however, nothing reaches the productivity of Rails. It's simply unbeatable if you have a small team.

   For example both SaaSHub and LibHunt were built on Rails.

   🏁 Competitors: Django, Laravel

Scikit-learn Reviews

Ruby on Rails mentions (119)

• On the road to ramen profitability 🍜 💸

  A 7.1 Ruby on Rails application hosted on a Hetzner VPS and deployed via Kamal. - Source: dev.to / 7 days ago

• Should You Use Ruby on Rails or Hanami?

  Industry adoption - Without including the adoption of other popular and more established frameworks like Python, React, C#, and others, if we consider the adoption of Ruby frameworks, Rails easily eclipses Hanami. The Rails homepage lists some big-name organizations using the framework. On the other hand, as the new kid on the block, Hanami is not so widely adopted. We'll have to wait and see whether that will... - Source: dev.to / 5 days ago

• Client side Git hooks 101

  Here's a real life example: Imagine a Ruby on Rails app on which a team of developers are working. The code is hosted on GitLab and all the work is coordinated using GitLab issues. In other words: For every commit, there's an associated issue and the issue number acts as a sort of primary key for documentation, time reporting and so forth. This convention has a few advantages, most notably the ability to easily... - Source: dev.to / about 1 month ago

• 16 Best Ruby Frameworks For Web Development [2024]

  Ruby on Rails is regarded as one of the best ruby frameworks. It was the primary language in developing big projects such as Twitter and helped the language boost the community. Often referred to as “Rails,” Ruby on Rails is a web development framework with an MVC control structure and currently running its 6.1 version. The 16-year-old language has dramatically influenced the web development structures and... - Source: dev.to / 2 months ago

• HTML Data Attributes: One of the Original State Management Libraries

  DEV is a Rails monolith, which uses Preact in the front-end using islands architecture. The reason why I mention all this is that it's not a full-stack JavaScript application, and there is no state management library like Redux or Zustand in use. The data store, for the most part on the front end, is all data attributes. - Source: dev.to / 6 months ago

Scikit-learn mentions (28)

• 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 / 2 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 / 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: about 1 year 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