WEKA - Data Mining with Open Source Machine Learning Tool - Free Udemy Courses - FreeCourseSite

WEKA – Data Mining with Open Source Machine Learning Tool – Free Udemy Courses

WEKA tool for data preparation, classification, regression, clustering, association rules mining, and visualization

What you’ll learn

WEKA – Data Mining with Open Source Machine Learning Tool – Free Udemy Courses

Students can learn the WEKA tool for data pre-processing, classification, regression, clustering, association rules, and visualization

Requirements

Basic Mathematics is enough

Description

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 R Programming, Python Programming, Weka Toolkit, and SQL.

Yes, it is possible to apply Weka to process big data and perform deep learning!

Who this course is for:

Graduates or Pursuing BTech Students

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WEKA – Data Mining with Open Source Machine Learning Tool – Free Udemy Courses

WEKA – Data Mining with Open Source Machine Learning Tool – Free Udemy Courses

WEKA tool for data preparation, classification, regression, clustering, association rules mining, and visualization

What you’ll learn

Requirements

Description

Who this course is for:

About the author

Hassan Sardar

Categories

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WEKA – Data Mining with Open Source Machine Learning Tool – Free Udemy Courses

WEKA tool for data preparation, classification, regression, clustering, association rules mining, and visualization

What you’ll learn

Requirements

Description

Who this course is for:

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About the author

Hassan Sardar

Categories

Search Course

Categories

Search Courses

Categories