Gab Reviews

Scikit-learn Reviews

Gab mentions (4)

• Inflection-2.5: meet the best personal AI

  If you want uncensored.. https://gab.ai. - Source: Hacker News / 3 months ago

• This dude made an alternative Reddit on a blockchain. Crazy

  I don't understand how you can stop spam yet not have the structures in place to censor forbidden views or opinions. Without admin moderation you get 50 million flavours of porn (like old Usenet servers) some of which will be illegal porn, a massive slice of QAnon and conspiracy (like Odyssee and gab.ai), information and propaganda useful to terrorists (like the old totse.com) and dark web drug markets. Source: over 2 years ago

• Bring back Internet comment sections!

  This already exists in the "Dissenter browser" made by the folks over at gab.ai. This could work as a third party extension, but direct support from Brave would instantly draw controversy as it's perceived that the only reason Dissenter exists is to support toxic radical right wingers. Source: over 2 years ago

• I agree with them, but I can see liberals hate for the second season in this post

  I feel that there is still space for a platform for content creators which is away from any restrictions. I was talking to a lawyer friend of mine about drafting a user agreement which makes it impossible for anyone to sue any content creator or the platform, or for any government or group to force removal of content. but in the end we figured that we would need a back to back agreement with our service... Source: about 3 years 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 / 12 months 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