Bunny.net Reviews

Scikit-learn Reviews

Bunny.net mentions (63)

• Update Bunny Edge Storage files with NodeJS

  I wanted to migrate a static website from a VPS to a CDN to improve website loading time and SEO performance. After a few searches, I discovered a new sleek CDN called BunnyCDN, which beats all performance charts in latency with an average of 40ms. That's what I was looking for! - Source: dev.to / 3 months ago

• Supabase Storage: now supports the S3 protocol

  This is great news. Now I can utilize any CDN provider that supports S3. Like bunny.net [1] which has image optimization, just like Supabase does but with better pricing and features. I have been developing with Supabase past two months. I would say there are still some rough corners in general and some basic features missing. Example Supabase storage has no direct support for metadata [2][3]. Overall I like the... - Source: Hacker News / about 2 months ago

• Can we set up a bunny.net discord

  It seems there's no discord community yet for bunny.net, would someone be interested in setting this up? Source: 7 months ago

• Is image hosting especially costly?

  Use a CDN like Bunny and you can host images for like $1/mo + less than $0.10/gb of bandwidth. Source: 7 months ago

• Can you recommend a LAMP host with the cheapest bandwidth rates? 🙏

  You'll want a CDN like Bunny (at least for the files), instead of a web host. Source: 8 months ago

Scikit-learn mentions (28)

• 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 / 3 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

• Help on using R for Machine Learning?

  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