Artificial Intelligence & Data Science
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

Data Mining with Weka

Course Cover

5

(4)

compare button icon
Offer Percent Icon

1 Coupon Available

Login To View All

Course Features

icon

Duration

5 weeks

icon

Delivery Method

Online

icon

Available on

Lifetime Access

icon

Accessibility

Mobile, Desktop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Effort

3 hours per week

icon

Teaching Type

Self Paced

Course Description

The world of today generates more data than ever! It is essential to be able turn this data into useful information. This course will teach you how to use the Weka workbench to do data mining. The mystery surrounding this subject will be dispelled. We will explain the basic principles behind popular algorithms. You'll learn how to apply them in real-world applications. The course will give you a lot of hands-on experience in mining data, and after the course you'll be able to mine your own. Weka was created at the University of Waikato, NZ. Ian Witten is the author of a book on data mining.

Course Overview

projects-img

Alumni Network

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

check-card-img

It involves no computer programming, although you need some experience with using computers for everyday tasks

check-card-img

High school maths should be more than enough and you’ll need an understanding of some elementary statistics concepts (means and variances)

What You Will Learn

check-card-img

Demonstrate use of Weka for key data mining tasks

check-card-img

Evaluate the performance of a classifier on new, unseen, instances

check-card-img

Explain how data miners can unwittingly overestimate the performance of their system

check-card-img

Identify learning methods that are based on different flavors of simplicity

check-card-img

Apply many different learning methods to a dataset of your choice

check-card-img

Interpret the output produced by classification methods

check-card-img

Describe the principles behind many modern machine learning methods

check-card-img

Compare the decision boundaries produced by different classification algorithms

check-card-img

Debate ethical issues raised by mining personal data

Target Students

check-card-img

This course is aimed at anyone who deals in data

Course Instructors

Author Image

Ian Witten

Instructor

I grew up in Ireland, studied at Cambridge, and taught computer science at the Universities of Essex in England and Calgary in Canada before moving to paradise (aka New Zealand) 25 years ago.

Course Reviews

Average Rating Based on 4 reviews

5.0

100%

Course Cover
Offer Percent Icon

1 Coupon Available
Get upto 30% Discount