CakePHP Reviews

Scikit-learn Reviews

CakePHP mentions (10)

• How to Use ServBay to Create and Run a CakePHP Project

  CakePHP is an open-source PHP web framework designed to help developers build web applications quickly. It is based on the MVC (Model-View-Controller) architecture and provides a powerful toolkit to simplify common development tasks such as database interactions, form handling, authentication, and session management. - Source: dev.to / 7 days ago

• Top 12 PHP Frameworks For Web Development in 2024

  CakePHP is an open-source PHP framework for web development with 8.7k stars and 3.5k forks on GitHub. It offers APIs that enable developers to develop applications quickly. It allows you to create highly secure and scalable web applications, including social networks, eCommerce, and online collaboration platforms. - Source: dev.to / 5 months ago

• Any suggestions for lighter frameworks than Laravel?

  Give https://cakephp.org/ a try. It also is one of the oldest ones out there, so quite mature and stable while being rather lightweight. Serving JSON API seems like a good fit. Source: over 1 year ago

• Which PHP Framework Should You Use in 2023?

  You can download it and review the documentation here: https://cakephp.org/. - Source: dev.to / over 1 year ago

• My Workflow

  As the name of the service says it will work best with Laravel but it is not a problem to modify code from other frameworks to make it work the same way. I have several applications created this way in CakePHP. I have this set to manual after clicking the deploy button, but if you want you can turn on quick deploy and then it will publish the application after a push to the main branch (or another one, depending... - 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 / 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