Godot Engine Reviews

Scikit-learn Reviews

Godot Engine mentions (448)

• A Beginner's Guide to Game Development

  Game engines are the backbone of game development. They help facilitate and define how your creative visions will be implemented. Some of the best game engine out there are Unity3D, Unreal, and Godot. All of which comes set of features, extensive documentation, and a vibrant community. Spent more time to test the various engines available so as to determine the most appropriate one depending on the on the persons... - Source: dev.to / 5 days ago

• Ask HN: Modern Day Equivalent to HyperCard?

  If he wants to advance in the game space then he can either keep in the "visual coding" area using something like https://www.construct.net/en or start heading down the text coding path with https://godotengine.org/ or https://www.lexaloffle.com/pico-8.php. - Source: Hacker News / about 2 months ago

• Tetris Development 1 - Setting Up

  Instead, I was recommended Godot by a fellow developer. It is an easy-to-pickup and beginner-friendly open-source engine, which I will use to develop the Tetris game. - Source: dev.to / 2 months ago

• Web Game Engines and Libraries

  Https://godotengine.org/ and export to web . - Source: Hacker News / 2 months ago

• Ask HN: Yo wants to build a game, I'm lost. What can I do?

  Godot [1] is a very nice game engine. There's a game on Itch.io that teaches the scripting language it uses [2], and a ton of great tutorials on YouTube for beginners and experts alike. [1]: https://godotengine.org/. - Source: Hacker News / 5 months 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 / 13 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