WEKA – Data Mining with Open Source Machine Learning Tool

WEKA – Data Mining with Open Source Machine Learning Tool, available at Free, has an average rating of 4.3, with 5 lectures, based on 320 reviews, and has 14183 subscribers.

You will learn about Students can learn WEKA tool for data pre-processing, classification, regression, clustering, association rules, and visualization This course is ideal for individuals who are Graduates or Pursuing BTech Students It is particularly useful for Graduates or Pursuing BTech Students.

Enroll now: WEKA – Data Mining with Open Source Machine Learning Tool

Summary

Title: WEKA – Data Mining with Open Source Machine Learning Tool

Price: Free

Average Rating: 4.3

Number of Lectures: 5

Number of Published Lectures: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Graduates or Pursuing BTech Students

Target Audiences

Graduates or Pursuing BTech Students

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!

Course Curriculum

Chapter 1: WEKA – Data Mining with Open Source Machine Learning Tool

Lecture 1: Waikato Environment for Knowledge Analysis (WEKA)

Lecture 2: Analysis & Prediction using WEKA Machine Learning Toolkit

Lecture 3: Python Libraries for Data Science

Lecture 4: Introduction to Data Science

Lecture 5: Introduction to Machine Learning

Instructors

DATAhill Solutions Srinivas Reddy
Data Scientist

Rating Distribution

1 stars: 21 votes
2 stars: 20 votes
3 stars: 67 votes
4 stars: 106 votes
5 stars: 106 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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