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Scikit-learn VS iovation

Compare Scikit-learn VS iovation and see what are their differences

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Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses featured
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Scikit-learn logo Scikit-learn

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

iovation logo iovation

iovation offers device-based solutions for fraud prevention and authentication.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • iovation Landing page
    Landing page //
    2021-12-22

Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

More videos:

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

iovation videos

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iovation Employee Reviews - Q3 2018

More videos:

  • Review - Orbitz Uses iovation Device Reputation as its Foundation for Fraud Prevention
  • Review - iovation: Battling Credit Write-Offs by Identifying Synthetic Identity (Gartner Report Part 1)

Category Popularity

0-100% (relative to Scikit-learn and iovation)

Scikit-learn

iovation

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
eCommerce
0 0%
eCommerce
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Fraud Prevention
0 0%
Fraud Prevention
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 iovation

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...
Source: searchbusinessanalytics.techtarget.com

iovation Reviews

Fraud prevention platform Seon raises a $12M Series A round led by Creandum
SEON are seen as competing with Emailage, Iovation, Threatmetrix. However, SEON’s thesis is that social media is a great proxy of a legitimate user vs bot/fake fraudster, so it looks heavily at social accounts to weed out fraudsters.
Source: techcrunch.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. 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 / 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: 12 months 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
View more

iovation mentions (0)

We have not tracked any mentions of iovation yet. Tracking of iovation recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and iovation, 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.

Riskified - eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.

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

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

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

Kount - eCommerce fraud detection & prevention

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