MacPorts Reviews

Scikit-learn Reviews

MacPorts mentions (5)

• Need help with running OpenBSD on VirtualBox

  Brew & macports have libvirt & virt-manager that are used to manage qemu via GUI. Source: over 1 year ago

• Brew Is a Bad Neighbor

  Or instead of all this, try MacPorts[0], which in my experience has 99% of what you need. The biggest drawbacks are less support from quite niche packages (the ones that sets up its own homebrew tap), and a bit slower updates. But then I found it bearable much more than homebrew’s downsides. [0]: https://macports.org. - Source: Hacker News / almost 2 years ago

• How to prevent WireGuard from starting up (menubar) on MacOS?

  You can install wireguard-go and wireguard-tools (or boringtun, which is Cloudflare's userspace implementation) using either MacPorts or Brew. Source: almost 2 years ago

• Newbie Problem with MacOS Terminal Stuff

  That being said, I'm going to assume that you're working on MacO. Flatpaks aren't going to be an option, that's only going to work if you're using Linux (like Fedora, Ubuntu, Gentoo, Arch, Mint, and so on). If you need to install HandBrake, you may want to consider using macports.org, or brew.sh, these are projects that provide additional libraries and packages for MacOS, this way you can install additional... Source: about 2 years ago

• Top 10 trending github repos of the week🚽.

  On macOS you can also install the latest release with MacPorts:. - Source: dev.to / over 2 years 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 / 23 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