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Scikit-learn VS GeoGebra

Compare Scikit-learn VS GeoGebra 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.

GeoGebra logo GeoGebra

GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • GeoGebra Landing page
    Landing page //
    2021-12-27

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

GeoGebra videos

GeoGebra - Chrome Web App Review

More videos:

  • Review - GeoGebra Classic Audio Review
  • Review - GeoGebra Review pt 2

Category Popularity

0-100% (relative to Scikit-learn and GeoGebra)
Data Science And Machine Learning
Technical Computing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Numerical Computation
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 GeoGebra

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...

GeoGebra Reviews

The 15 Best AI Tools to Solve Math Problems
GeoGebra: GeoGebra is a dynamic mathematics software that combines geometry, algebra, calculus, and other mathematical topics. It features an AI-powered graphing calculator, equation solver, and interactive geometry tools for exploring mathematical concepts.

Social recommendations and mentions

Scikit-learn might be a bit more popular than GeoGebra. We know about 28 links to it since March 2021 and only 20 links to GeoGebra. 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: over 1 year ago
View more

GeoGebra mentions (20)

  • Are Analysis Tools Dynamic when Uploaded?
    When I create a GeoGebra file using the One Variable Analysis, Regression Analysis, Multiple Variable Analysis tools, it work fine until I export it to the online collection of resources on geogebra.org. Source: 11 months ago
  • Fullscreen by OnClick-Scripting
    Sure, there is the fullscreen button in the lower right corner in every geogebra.org applet... But sometimes I want the students to "Start" an applet by clicking a single button (which also does UpdatingConstruction and other things....) and in that way I can ensure that they really use the fullscreen. Source: about 1 year ago
  • How to open a save file on iOS?
    To access your account on geogebra.org:. Source: about 1 year ago
  • Who is teaching the most innovative College Algebra course out there? Any fresh ideas for syllabi that get away from following the strict order of a textbook?
    Check out geogebra.org and desmos.com and find those online communities, and *thank you.* I'm going to be so bold as to assume you want to make the topics make more sense to people than they usually do, and perhaps get more of them passing the courses? Source: about 1 year ago
  • geogebra tube and Windows 11
    The website: Https://tube.geogebra.org/ No longer exists. Instead, the GeoGebra resource center is at:https://geogebra.org/. Source: over 1 year ago
View more

What are some alternatives?

When comparing Scikit-learn and GeoGebra, 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.

Desmos - A beautiful, innovative, and modern online graphing calculator.

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

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

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

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming