Based on our record, Scikit-learn seems to be a lot more popular than Ruler for Windows. While we know about 28 links to Scikit-learn, we've tracked only 2 mentions of Ruler for Windows. 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.
There is also DBLint (https://archive.codeplex.com/?p=dblint), which has a fairly comprehensive set of checks. - Source: Hacker News / almost 3 years ago
Microsoft CodePlex Archive ZIPs This archive contains all of the zip-files from the Microsoft CodePlex Archive under https://archive.codeplex.com/ prior to its shutdown. Due to the amount of files, they're combined into tar-files, with the exception of zip-files larger than 512 MB, which can be found in the "large"-folder instead. - Zips.csv A list of all repository zip-files in this archive. Fields: ID: ID... Source: about 3 years ago
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: about 1 year ago
HakuNeko - HakuNeko is an all-in-one cross-platform utility that supports you to download manga and anime with various website support.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Hitomi Downloader - Desktop application to download images/videos/music/text from Hitomi.la and other sites, and more.
OpenCV - OpenCV is the world's biggest computer vision library
NeoDownloader - As you know, there is a lot of websites with a lot of pictures, music and movies.
NumPy - NumPy is the fundamental package for scientific computing with Python