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WEKA - Data Mining with Open Source Machine Learning Tool

WEKA tool for data preparation, classification, regression, clustering, association rules mining, and visualization
Free tutorial
Rating: 4.5 out of 5 (332 ratings)
14,650 students
3hr 30min of on-demand video
English
English [Auto]

Students can learn 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

Instructor

  • 4.1 Instructor Rating
  • 4,429 Reviews
  • 175,632 Students
  • 9 Courses

Having 10+ Years of Experience in Software Industry which includes Development, Support & Training.

My Experience Includes Managing, Processing, Predicting and Analyzing of Large volume of Business Data.

Expertise in Data Management, BI Technologies & Data Science with Data Analytics, Machine Learning, Deep Learning & Artificial Intelligence using R Programming, Python Programming, WEKA and EXCEL.

Having publications and patents in various fields such as machine learning, data security, and data science technologies.

I received my Masters of Technology in Computer Science & Engineering from JNTU.

Professionally, I am a Data Science management consultant with over 8 years of experience in finance, retail, transport and other industries.

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