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WEKA - Data Mining with Open Source Machine Learning Tool

person icon DATAhill Solutions Srinivas Reddy

4.5

WEKA - Data Mining with Open Source Machine Learning Tool

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

updated on icon Updated on Jul, 2024

language icon Language - English

person icon DATAhill Solutions Srinivas Reddy

English [CC]

category icon Development,Data Science and AI ML,Data Mining

Lectures -7

Resources -6

Duration -3 hours

4.5

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Course 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

Goals

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

Prerequisites

  • Basic Mathematics is enough
WEKA - Data Mining with Open Source Machine Learning Tool

Curriculum

Check out the detailed breakdown of what’s inside the course

WEKA - Data Mining with Open Source Machine Learning Tool
6 Lectures
  • play icon File Resources
  • play icon Waikato Environment for Knowledge Analysis (WEKA) 44:25 44:25
  • play icon Analysis & Prediction using WEKA Machine Learning Toolkit 44:43 44:43
  • play icon Python Libraries for Data Science 22:32 22:32
  • play icon Introduction to Data Science 53:16 53:16
  • play icon Introduction to Machine Learning 44:38 44:38

Instructor Details

DATAhill Solutions Srinivas Reddy

DATAhill Solutions Srinivas Reddy


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T

Tadele Lucha

it was very interesting.

R

Rahul Kumar

great

A

Aryan Thakur

Great Explanation and Implementation

S

Sidharth Kochu

excellent

M

M V S S Sastry (MANTHA V S S SASTRY)

Knowledgeble to me

M

Manthan Dalvi

Nive

Kitaka Emmanuel

Kitaka Emmanuel

SO GOOD AND INTEREST

A

ARAVINDHAN A

awsemonr

N

Nutan Amru

an amazing sessions can i revise this course whenever i need please do mail me on my mail id-nutanamru@gmial.com

N

Nithish kumar

Good course great learning

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