Software Alternatives & Reviews

WEKA VS Scikit-learn

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


WEKA is a set of powerful data mining tools that run on Java.

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

WEKA details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website tools.cms.waikato.ac.nz  

Scikit-learn details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website scikit-learn.org  

WEKA videos

Review of Feature Selection in Weka

More videos:

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

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Category Popularity

0-100% (relative to WEKA and Scikit-learn)
39
39%
61%
61
42
42%
58%
58
35
35%
65%
65

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

WEKA mentions (0)

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

Scikit-learn mentions (7)

  • Top 10 Python Libraries for Machine Learning
    Website: https://scikit-learn.org/ Github Repository: https://github.com/scikit-learn/scikit-learn Developed By: SkLearn.org Primary Purpose: Predictive Data Analysis and Data Modeling. - Source: dev.to / about 2 months ago
  • Use Scikit-Learn and Runflow
    If you're not familiar with Scikit-learn and Runflow,. - Source: dev.to / 4 months ago
  • What Makes Python Libraries So Important For Data Science Learning?
    Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc. - Source: Reddit / 4 months ago
  • Introduction to Machine Learning with Python and Repl.it
    The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikit-learn, which makes it possible to do advanced machine learning in a few lines of Python. - Source: dev.to / 6 months ago
  • Something like The Odin Project but for Python and Machine Learning?
    I would recommend starting with scikit and some popular data set (e.g. titanic). - Source: Reddit / 7 months ago
View more

What are some alternatives?

When comparing WEKA and Scikit-learn, 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.

OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

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

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

User reviews

Share your experience with using WEKA and Scikit-learn. For example, how are they different and which one is better?

Post a review