CodeIgniter Reviews

1. Careem

   over 1 year ago
   A PSR-compliant framework with diverse set of facilities and capabilities

   You can build any kinds of web apps and sites with this framework without consuming substantial server resources.

   🏁 Competitors: Lumen Framework

Scikit-learn Reviews

CodeIgniter mentions (8)

• Top 12 PHP Frameworks For Web Development in 2024

  CodeIgniter is an open-source PHP framework with 18k+ stars and 7.8K forks on GitHub. It follows the Model-View-Controller (MVC) architecture and provides a structured way to create and organize code. It provides a set of libraries and an intuitive interface to accelerate PHP web app development. - Source: dev.to / 5 months ago

• Why I selected Elixir and Phoenix as my main stack

  Over the years I have tried different frameworks, mostly in PHP, like Code Igniter (2010), ProcessWire (2014) and Laravel (2015). - Source: dev.to / over 1 year ago

• In One Minute : CodeIgniter

  CodeIgniter is an open-source php web application framework created by EllisLab Inc and it is now a project of British Columbia Institute of Technology. The framework implements a modified version of the Model-View-Controller design pattern. It is praised for its performance and the quality of its documentation. It's currently licensed under the MIT License, although the previous version was released under the... - Source: dev.to / over 1 year ago

• Ask HN: Web frameworks – which less popular framework are you using and why?

  It's been a long time since I wrote any PHP in anger but back when I did, I got a ton of mileage out of CodeIgniter (https://codeigniter.com/). It looks like it's still around and being actively maintained. I can quite clearly remember a number of projects that went from being just an idea to 90% functional in the span of an evening. I write Python almost exclusively now, but still pine for something like... - Source: Hacker News / about 2 years ago

• Want to access a controller variable in config.php file in Codeigniter 3

  Could you care to elaborate on the "CI3 is dangerously out of date" statement? What exactly makes it dangerous? The last version (3.1.11) was released in 2019, and until version 4.1 a few months ago, CI3 was still the current stable version. According to codeigniter.com, "This version is in maintenance, receiving mostly just security update". Source: almost 3 years 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 / 19 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