Scikit-learn might be a bit more popular than Lua. We know about 27 links to it since March 2021 and only 22 links to Lua. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Lua means 'Moon' in Portuguese, as it is also their logo: https://lua.org. - Source: Hacker News / 3 months ago
The official lua website is a pretty good place to go! As well as lua users & tutorials point has a really good tutorial for lua too! The official site may be hard to understand at time (it was for me at least) but that’s why I gave you the other two. they’ll explain it simpler/better than the official site may sometimes. Hope this helps! Source: about 1 year ago
1) Who Should Sign Up? - People with no, little, or intermediate skills in programming or PICO-8. 2) What Will We Cover? - Fantasy Console Paradigm: The Full Overview of What PICO-8 can do. - Lua and the uses of its modified API within PICO-8. Programming, 101. 3) What to Expect - A full game all your own! - Brought together in a 4-8 classes, in live teaching sessions in which you can interact with... Source: about 1 year ago
I have tried a few thins but no luck and found nothing on the web, also looks as if lua.org main forums no longer exist. Source: over 1 year ago
Not at all! Lua, for instance, starts indexing at 1. I don't like it personally, but Lua obviously exists and is quite popular. Source: over 1 year ago
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 / 11 months ago
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: 12 months ago
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: 12 months ago
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: about 1 year ago
This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
OpenCV - OpenCV is the world's biggest computer vision library
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
NumPy - NumPy is the fundamental package for scientific computing with Python