Weka

Weka

University of Waikato
+
+

Related Products

  • Runpod
    220 Ratings
    Visit Website
  • Teradata VantageCloud
    1,122 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • NeuBird
    2 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    366 Ratings
    Visit Website
  • Google Compute Engine
    1,166 Ratings
    Visit Website
  • Adzooma
    254 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,017 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website

About

Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. The videos for the courses are available on Youtube. An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning (ML). These enable a computer program to automatically analyze a large body of data and decide what information is most relevant. This crystallized information can then be used to automatically make predictions or to help people make decisions faster.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies, researchers and organizations in need of a machine learning solution for their projects

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

University of Waikato
New Zealand
www.cs.waikato.ac.nz/ml/weka/

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Neural Designer

Neural Designer

Artelnics

Alternatives

Gensim

Gensim

Radim Řehůřek
Rapidminer

Rapidminer

Siemens
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

AWS Marketplace
DagsHub
Databricks
Flower
GLM-5.1
GLM-5.2
Guild AI
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
Python
Thunder Compute
Train in Data

Integrations

AWS Marketplace
DagsHub
Databricks
Flower
GLM-5.1
GLM-5.2
Guild AI
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
Python
Thunder Compute
Train in Data
Claim Weka and update features and information
Claim Weka and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information