Software Alternatives & Reviews

R Caret VS WEKA

Compare R Caret VS WEKA and see what are their differences

R Caret logo R Caret

Documentation for the caret package.

WEKA logo WEKA

WEKA is a set of powerful data mining tools that run on Java.
Not present
  • WEKA Landing page
    Landing page //
    2018-09-29

R Caret videos

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WEKA videos

Review of Feature Selection in Weka

More videos:

  • Review - Getting Started with Weka - Machine Learning Recipes #10
  • Tutorial - Data mining with Weka | Data mining Tutorial for Beginners

Category Popularity

0-100% (relative to R Caret and WEKA)
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Tools
0 0%
100% 100
Machine Learning
100 100%
0% 0

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WEKA Reviews

15 data science tools to consider using in 2021
Weka is free software licensed under the GNU General Public License. It was developed at the University of Waikato in New Zealand starting in 1992; an initial version was rewritten in Java to create the current workbench, which was first released in 1999. Weka stands for the Waikato Environment for Knowledge Analysis and is also the name of a flightless bird native to New...

What are some alternatives?

When comparing R Caret and WEKA, you can also consider the following products

H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

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

R MLstudio - The ML Studio is interactive for EDA, statistical modeling and machine learning applications.

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

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.