Updated on Apr, 2024
Language - English
great
WEKA - Data Mining with Open Source Machine Learning Tool
WEKA tool for data preparation, classification, regression, clustering, association rules mining, and visualization
Development,Data Science and AI ML,Data Mining
Lectures -7
Resources -6
Duration -3 hours
Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.
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
What will you learn in this course:
- Students can learn WEKA tool for data pre-processing, classification, regression, clustering, association rules, and visualization
Prerequisites
What are the prerequisites for this course?
- Basic Mathematics is enough
Curriculum
Check out the detailed breakdown of what’s inside the course
WEKA - Data Mining with Open Source Machine Learning Tool
6 Lectures
-
File Resources
-
Waikato Environment for Knowledge Analysis (WEKA)
44:25
44:25
-
Analysis & Prediction using WEKA Machine Learning Toolkit
44:43
44:43
-
Python Libraries for Data Science
22:32
22:32
-
Introduction to Data Science
53:16
53:16
-
Introduction to Machine Learning
44:38
44:38
Instructor Details
DATAhill Solutions Srinivas Reddy
eCourse Certificate
Use your certificate to make a career change or to advance in your current career.
Our students work
with the Best
Feedbacks
Great Explanation and Implementation
excellent
Knowledgeble to me
Nive
Kitaka Emmanuel
e
SO GOOD AND INTEREST
awsemonr
an amazing sessions can i revise this course whenever i need please do mail me on my mail id-nutanamru@gmial.com
Good course great learning
Good
Related Video Courses
View MoreAnnual Membership
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses
Subscribe now
Online Certifications
Master prominent technologies at full length and become a valued certified professional.
Explore Now