cURL Reviews

Scikit-learn Reviews

cURL mentions (106)

• pyaction 4.30.0 Released

  This Docker image is designed to support implementing Github Actions With Python. As of version 4.0.0., it starts with The official python docker image as the base Which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl, Gpg, git, and the GitHub CLI. We added curl and gpg because they Are... - Source: dev.to / about 1 month ago

• Caching RESTful API requests with Heroku’s Redis Add-on

  Then, in another terminal window, we use curl to hit the endpoint:. - Source: dev.to / 2 months ago

• Open source at Fastly is getting opener

  Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon,... - Source: dev.to / 3 months ago

• Web scraping with cURL (fetching RAW HTML data)

  cURL, is a command line tool and library for transferring data with URLs. Think of Postman, but without the GUI (Graphic User Interface). We'll play only with the Command line / Terminal instead of a clickable interface. - Source: dev.to / 6 months ago

• pyaction 4.22.0 Released

  This Docker image is designed to support implementing Github Actions With Python. As of version 4.0.0., it starts with The official python docker image as the base Which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl Gpg, git, and the GitHub CLI. We added curl and gpg because they Are... - Source: dev.to / 10 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 / 6 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