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Description
Utilize open-source machine learning tools and data visualization techniques to create dynamic data analysis workflows in a visual format, supported by a broad and varied collection of resources. Conduct straightforward data assessments accompanied by insightful visual representations, and investigate statistical distributions through box plots and scatter plots; for more complex inquiries, utilize decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even intricate multidimensional datasets can be effectively represented in 2D, particularly through smart attribute selection and ranking methods. Engage in interactive data exploration for swift qualitative analysis, enhanced by clear visual displays. The user-friendly graphic interface enables a focus on exploratory data analysis rather than programming, while intelligent defaults facilitate quick prototyping of data workflows. Simply position widgets on your canvas, link them together, import your datasets, and extract valuable insights! When it comes to teaching data mining concepts, we prefer to demonstrate rather than merely describe, and Orange excels in making this approach effective and engaging. The platform not only simplifies the process but also enriches the learning experience for users at all levels.
Description
Weka comprises a suite of machine learning algorithms designed for various data mining activities. This platform offers functionalities for tasks such as data preparation, classification, regression, clustering, association rule mining, and data visualization. Interestingly, Weka is also the name of a flightless bird native to New Zealand, known for its curious disposition. The pronunciation of the name and the sounds made by the bird can be found online. As an open-source software, Weka is available under the GNU General Public License. We have created several complimentary online courses aimed at teaching machine learning and data mining through Weka, with video resources accessible on YouTube. The emergence and implementation of machine learning techniques represent a groundbreaking advancement in the realm of computer science. These techniques empower computer programs to systematically analyze extensive datasets and discern the most pertinent information. Consequently, this distilled knowledge can facilitate automated predictions and accelerate decision-making processes for individuals and organizations alike. This intersection of nature and technology showcases the fascinating ways in which we draw inspiration from the world around us.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
University of Ljubljana
Country
Slovenia
Website
orange.biolab.si
Vendor Details
Company Name
University of Waikato
Country
New Zealand
Website
www.cs.waikato.ac.nz/ml/weka/
Product Features
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization