Stripe Chargeback Protection Reviews

Scikit-learn Reviews

Stripe Chargeback Protection mentions (7)

• I’ve never and I don’t think I’ll ever win a dispute at this rate. I’m so annoyed

  Yea, unfortunately Stripe doesn’t make these decisions. Couple things you could consider: * Adding additional verification steps like Stripe Identity * Requiring 3DS, which shifts loss liability in some cases to the card issuer * Using Stripe Checkout with Chargeback Protection: https://stripe.com/radar/chargeback-protection. It costs 0.4%, but you wouldn’t need to worry about losses at all (up to a certain volume... Source: almost 2 years ago

• Scared of stripe

  You could consider looking into using Chargeback Protection, which will add to your processing fee, but will protect you from loss from chargebacks on eligible transactions (i.e., purchase made via the Checkout). You won't have to provide evidence, you won't lose the money (up to a certain amount per year); it's essentially an insurance system. And from my reading of their docs, I don't think you'd have to deal... Source: about 2 years ago

• Chargeback lost - $7k worth or merchandise in customer hands, what can be legally done?

  I have seen companies out there that specialize in combatting chagebacks for businesses. Basically any chargeback that happens, the company takes care of disputing it. For a company like yourself that processes high dollar transactions/products/services, you may do well to seek such a company and use their service, get your own merchant account and stop using 3rd party processors. Stripe has a chargeback... Source: about 2 years ago

• Reddit's website uses DRM for fingerprinting (2020)

  Stripe offers Payment Links [0], which makes it really easy to accept payments (just paste a link into your product page and handle a webhook serverside; a single href is adequate). They also have a separate "Checkout" offering [1], which requires some code client- and server-side to generate the page. So far, Stripe has been awesome for me selling $2.50/mo subscriptions [2], and as far as I know, suspicious... - Source: Hacker News / about 2 years ago

• Twitter is down 10.4% since IPO in 2013

  Right, Apple is only providing the hardware and it requires to use a (partnered) processor, like Stripe, which was the example they used in their recent announcement. Stripe coincidentally sells chargeback protection as a service https://stripe.com/radar/chargeback-protection if that is a concern. - Source: Hacker News / over 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 / 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: about 1 year ago