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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
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
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
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
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
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 12 months ago
Stripe: Radar - Fraud prevention done right
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
DyScan - Stop fraud and process payments faster
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Chargeback - Ditch the manual work needed to manage disputes
NumPy - NumPy is the fundamental package for scientific computing with Python