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Scikit-learn VS Stripe: Radar

Compare Scikit-learn VS Stripe: Radar and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Stripe: Radar logo Stripe: Radar

Fraud prevention done right
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Stripe: Radar Landing page
    Landing page //
    2023-05-12

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Stripe: Radar videos

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Category Popularity

0-100% (relative to Scikit-learn and Stripe: Radar)
Data Science And Machine Learning
Fraud Prevention
0 0%
100% 100
Data Science Tools
100 100%
0% 0
eCommerce
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and Stripe: Radar

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

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Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Stripe: Radar. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

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
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Stripe: Radar mentions (6)

  • Anyone here use Square? Or accept in person card payments [Please Click]
    Using Stripes Advanced Fraud protection to keep you and your money safe,. Source: over 1 year ago
  • [Review][Negative] GunBrand.com
    They should use their credit card processor's fraud detection. For example, Stripe has Stripe Radar: https://stripe.com/radar. Source: almost 2 years ago
  • When a customer does an unfair chargeback, what do they tell their card company?
    Stripe Radar is the main tool used to do this, you can check it out here to get more detail: https://stripe.com/radar. Source: over 2 years ago
  • Don’t pay online with PayMaya.
    Usually, these online merchants (Netflix, Spotify, etc.) uses the same payment gateway. They're likely using Stripe. Once one merchant reports your card as "fraud" or detects unusual activity, it will be labeled as "high risk". Stripe will take note of that and will block the same card whenever it is used on other merchants. It's a security feature Stipe implements that work well for both the merchant and customer. Source: over 2 years ago
  • I strongly feel Databricks will merge with PSTH I. Here's undiscussed evidence why.
    Stripe also has a division called Radar that would benefit from Databricks' expertise. However, does Stripe need to acquire/partner with Databricks for this or is just being a customer enough? Source: about 3 years ago
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What are some alternatives?

When comparing Scikit-learn and Stripe: Radar, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.

OpenCV - OpenCV is the world's biggest computer vision library

Kount - eCommerce fraud detection & prevention

NumPy - NumPy is the fundamental package for scientific computing with Python

Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.