Software Alternatives, Accelerators & Startups

Scikit-learn VS RANDOM.ORG

Compare Scikit-learn VS RANDOM.ORG 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.

RANDOM.ORG logo RANDOM.ORG

RANDOM.ORG offers true random numbers to anyone on the Internet.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • RANDOM.ORG Landing page
    Landing page //
    2023-10-02

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

RANDOM.ORG videos

How to cheat random.org on android

More videos:

Category Popularity

0-100% (relative to Scikit-learn and RANDOM.ORG)
Data Science And Machine Learning
Random Number Generator
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Random Generator
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 RANDOM.ORG

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...

RANDOM.ORG Reviews

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Social recommendations and mentions

Based on our record, RANDOM.ORG seems to be a lot more popular than Scikit-learn. While we know about 562 links to RANDOM.ORG, we've tracked only 28 mentions of Scikit-learn. 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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RANDOM.ORG mentions (562)

  • 30 minutes left to launch - who's still undecided on their build?
    I'm about to just do a Random.org roll for the 5 builds I'm deciding between. Let RNGesus take the wheel. Source: 6 months ago
  • Let's play a game + Comment to get 100-690 cones!
    I am live on twitch rn and let's play a game tip me in the comments 1000 cones and every 3000 cones tip I will use random.org to choose a winner between the three tippers who will get all of the cones. Do not tip to play if I am offline it will be considered a gift at that point. Source: 6 months ago
  • /r/MightyParty Monthly Gem Giveaway
    Winners will be selected after 1 week using random.org to select winning comments. The winning IDs will be reported to Panoramik and gems will be distributed during the week. Source: 6 months ago
  • Free to good home #299: HP laptop, no battery ("spicy pillow" removed safely). AMD A12-9700P w/Radeon R7, touchscreen, new SSD, Windows 10, all updates. Not compatible w/Windows 11 according to Microsoft.
    Indicate your interest below and random.org will decide. Source: 7 months ago
  • 7K GIVEAWAY POST!
    Each user will only be granted ONE qualifying top-level comment. I will confirm all qualifying comments with a green "post approved" check mark. Once the deadline has elapsed, I will: 1) double check all entries for duplicates, 2) number all qualifying entries in no particular order, 3) feed that number range into Random.org, 4) generate one random number from that range, 5) match the randomly generated number... Source: 7 months ago
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What are some alternatives?

When comparing Scikit-learn and RANDOM.ORG, 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.

GeneratorMix - A place with hundreds of generators split into different categories from science to entertainment.

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

Random Number Generator - Randomly generate integers or floating point numbers within a given range and specified discrete or continuous statistical probability distribution.

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

Random Name Picker - A simple, quick online app that allows you to pick a random name from a list.