Scikit-learn Reviews

Tailwind CSS Reviews

1. pat0rick

   10 months ago
   Awesome framework

   I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.

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 / 20 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

Tailwind CSS mentions (894)

• The Ultimate React Roadmap for 2024 - Learn React the Right Way

  TailwindCSS is a utility-first CSS framework that allows you to build modern websites without leaving your HTML. - Source: dev.to / about 19 hours ago

• Cable Puller -> Bug Sniffer -> Business Builder :: My Unexpected Journey

  VIM-ing into the header.tsx, I write some html and some css with tailwindcss. I also added my new header component to the layouts.tsx file also. - Source: dev.to / 5 days ago

• Leveling Up My Web Dev Skills: HNG Internship and the Fascinating World of Frontend Tech

  Beyond frameworks, the front-end arsenal boasts other powerful tools. Bootstrap [https://getbootstrap.com/], a giant in the design world, provides pre-designed components that save developers time and effort. On the other hand, Tailwind CSS [Tailwind CSS - Utility-first CSS framework for rapid UI development | https://tailwindcss.com/] offers a utility-first approach, allowing developers to build custom user... - Source: dev.to / 3 days ago

• :where() :is() my mind?

  Utility-First frameworks, such as Tailwind CSS, provide a vast set of utility classes that can be composed directly in the HTML. This minimizes the need for custom CSS and complex selectors. - Source: dev.to / 10 days ago

• 10+ Tailwind CSS Checkbox Examples [Open-Source & Free]

  I prepared a list of open-source checkbox components coded with Tailwind CSS and Material Tailwind. - Source: dev.to / 7 days ago