Diaspora might be a bit more popular than Scikit-learn. We know about 29 links to it since March 2021 and only 28 links to Scikit-learn. 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
> whatever that Ruby-based alternative was, that Zuck famously invested in, but to which I have zero memory of the name right now I think you're referring to Diaspora. https://diasporafoundation.org/ https://en.wikipedia.org/wiki/Diaspora_(social_network). - Source: Hacker News / about 1 year ago
Maybe if reddit manages to kill itself, one of the decentralized projects like diaspora will expand. Source: about 1 year ago
I remember making similar comments about Diaspora vs Facebook a decade ago, but people are... lazy. Yeah, let's go with lazy. Source: over 1 year ago
To be fair, its not Mastodon, its the #Fediverse. Mastodon is arguably the least rich platfrom on the 'verse. IMHO Friendica is where its at, and you can still communicate with all the twitter refugees on Mastodon, as well as meater content on services likeDiaspora*, not to mention full integration with Lemmy (which works fairly similar to Reddit) while Masto you can see lemmy posts and replies without having to... Source: over 1 year ago
Several upstarts have tried to capture what you're talking about. Diaspora was an early entry, the Fediverse is another that seems to be gaining momentum in a way Diaspora never did. Source: over 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Mastodon - Mastodon is a decentralized, open source social network. This is just one part of the network, run by the main developers of the project It is not focused on any particular niche interest - everyone is welcome!
OpenCV - OpenCV is the world's biggest computer vision library
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
NumPy - NumPy is the fundamental package for scientific computing with Python
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.