JavaFX Reviews

Scikit-learn Reviews

JavaFX mentions (35)

• Book review - Frontend Development with JavaFX and Kotlin

  Other topics handled in this chapter are Kotlin utilities for JavaFX and direct downloads of JavaFX releases from openjfx.io. The author also explains why FXML is not used in the book. I agree with his view that the XML files are not as dynamic as code and bring a mix of technologies into your project. - Source: dev.to / about 1 month ago

• Setting up Continuous Integration

  One, I don't understand Java environments really well. All I have done so far is create some GUI applications using JavaFX. Wish I could share my code, but unfortunately, its part of my assignments and can't be open-sourced. Second, the instructions I found in the Contributing docs were bare-minimum, and kinda hard to follow for a beginner. An experienced Java developer would get them really quickly, no doubt... - Source: dev.to / 7 months ago

• How to use the JavaFX library Medusa to display weather data

  JavaFX (an open source, next generation client application platform for desktop, mobile and embedded systems) has many useful out the box UI controls to build modern interactive desktop apps. These include buttons, checkboxes, list views, labels etc, that can be configured and styled in countless ways. I’ve using them for many years at work building mapping apps! - Source: dev.to / 10 months ago

• New JavaFX Community

  **Useful resources** _([Full list](/r/JavaFX/wiki/resources))_ * [OpenJFX.io](https://openjfx.io/) * [JavaFX source](https://github.com/openjdk/jfx/) * [JavaFX bugtracker](https://bugs.openjdk.java.net/browse/JDK-8146386?jql=project%20%3D%20JDK%20AND%20component%20%3D%20javafx) * [JFX-Central](https://www.jfx-central.com/) [**Rules**](/r/JavaFX/about/rules/) 1. No NSFW/NSFL content 2. No service... Source: 11 months ago

• Finally passed C195 Software 2, AMA!

  As I'm typing this, I'm realizing that the 4 part webinar actually sets up a lot of it. By this point, you should have installed: your IDE (I used intellliJ), the Java SDK, downloaded the JavaFX file here(that you'll manually add into your project structure), and the MySQL connector J file. Source: 12 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 / 3 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 / almost 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

• 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: over 1 year ago