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Based on our record, Crystal (programming language) should be more popular than Scikit-learn. It has been mentiond 110 times since March 2021. 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.
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
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 / 12 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: about 1 year 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: about 1 year 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: over 1 year ago
I like the first code example on https://crystal-lang.org- Source: Hacker News / 5 months ago# A very basic HTTP server.
If you're interested, take a look at Crystal (https://crystal-lang.org/)! - Source: Hacker News / 5 months ago
Obviously as an interpreted language, it's never going to be as fast as something like C, Rust, or Go. Traditionally the ruby maintainers have not designed or optimized for pure speed, but that is changing, and the language is definitely faster these days compared to a decade ago. If you like the ruby syntax/language but want the speed of a compiled language, it's also worth checking out Crystal[^1]. It's mostly... - Source: Hacker News / 6 months ago
Crystal is a nice language that's not only simple to read and write but performs very well too. And the documentation is amazing as well. Source: 6 months ago
Ruby is a super fun scripting language. I much prefer it to python when I need something with a little more "ooomph" than bash. It's just...nice...to write in. Ruby performance has come a long way in the last decade as well. There's libraries for pretty much everything. My modern programming toolkit is basically golang + ruby + bash and I am never left wanting. I do find Crystal (https://crystal-lang.org/) really... - Source: Hacker News / 6 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
OpenCV - OpenCV is the world's biggest computer vision library
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
NumPy - NumPy is the fundamental package for scientific computing with Python
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.