Sumsub VS Scikit-learn

Sumsub Reviews

1. Vito A    

   Trader | almost 2 years ago

   Hands down one of the best experiences with document verification. I have to go through this kind of checks on a weekly basis and sumsub is relatively fast and has a smooth interface that guides you through the whole process. Solid 5/7

   👍 Pros:    Super fast

Scikit-learn Reviews

Sumsub mentions (8)

• Haru Invest referral code: 🚀💰 'HELLO' (March 2023)

  After that you must complete secure KYC process (done via the SumSub company). Source: about 1 year ago

• Binance p2p

  I didnt recieve my crypto from the p2p Transfer and its asking for me to do verification from sumsub.com. I have no idea what this website is but I filled out the verification and it says they are partnered with Binance. Source: over 1 year ago

• Community discussion about Spectrum Finance $SPF token in this thread December 9th, 6 pm UTC — Please join!

  KYC and data storage could be done by a trusted third-party service called Sum and Substance. Source: over 1 year ago

• Level 2 verification - document not approved / CS not replying

  It might be required to present proof of address for KYC, which you can learn more about here. The KYC procedure is handled by our partners at sumsub.com and they are the ones checking the validity of the document. Source: over 1 year ago

• Is there a way to verify my account with non-english IDs/ PoA?

  Updated the link with the source. Hope it helps. https://sumsub.com/. Source: almost 2 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 / 2 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 / 11 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: 12 months 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: about 1 year ago