RSpec Reviews

Scikit-learn Reviews

RSpec mentions (26)

• Should You Use Ruby on Rails or Hanami?

  When it comes to testing code, both frameworks are very much comparable since you can test either using the versatile RSpec library. - Source: dev.to / about 2 months ago

• Test Driving a Rails API - Part Two

  When starting a Rails project, you have a lot of decisions to make. Whether or not to write tests should not be one of them. The big decision is to use Minitest or Rspec. Both of those testing frameworks are great and provide everything you need to test a Rails application thoroughly. - Source: dev.to / 3 months ago

• Should i learn testing

  As a beginner you can skip it, just focus on understanding Rails' philosophy and getting comfortable with it. However, make sure you remember to come back to unit testing later bc it's a mandatory skill for a Rails developer. Unit test can help you understand your project's specs thoroughly (assume its test coverage is more than 90%). I recommend learning RSpec instead of Rails' built-in testing tool (the one... Source: 12 months ago

• Code Reviewing a Ruby on Rails application.

  RSpec is a testing framework for Ruby that is widely used in the Ruby on Rails community. It allows developers to write and execute automated tests. RSpec promotes behavior-driven development (BDD) by providing a readable syntax for describing the expected behavior of the application. - Source: dev.to / about 1 year ago

• Ruby RSpec

  In the Ruby programming language, one of the most popular testing frameworks is RSpec. RSpec is a flexible and expressive testing tool that allows you to write and run automated tests for your Ruby code. - Source: dev.to / 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 / 17 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