Machine Learning using Weka Software

Location
Online
Dates
Can be taken anytime
Course Type
Professional Training Course
Accreditation
Yes (Details)
Language
English
Price
$10

Course Overview

About this Course:

This is the bite size course to learn Weka and Machine Learning. You will learn Machine Learning which is the Model and Evaluation of CRISP Data Mining Process. You will learn Linear Regression, Kmeans Clustering, Agglomeration Clustering, KNN, Naive Bayes, Neural Network in this course.

Basic knowledge:

Computer Knowledge Basic coding knowledge

Who should take this course

Who is the target audience?

Any one who desires to learn it.

Accreditation

Course Completion Certificate

Course content

What you will learn:

Content:

  • Getting Started
  • Getting Started 2
  • Data Mining Process
  • Simple Linear Regression
  • Regression in Weka
  • KMeans Clustering
  • KMeans Clustering in Weka
  • Agglomeration Clustering
  • Agglomeration Clustering in Weka
  • Decision Tree: ID3 Algorithm
  • Decision Tree in Weka
  • KNN Classiifcation
  • KNN in Weka
  • Naive Bayes
  • Naive Bayes in Weka
  • What Algorithm to use?
  • Model Evaluation
  • Weka Advanced Attribute Selection
  • Weka Advanced Data Visualizations
  • Weka Model Selection and Deployment

About Course Provider

Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.

Why Simpliv

With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.

Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.

Frequently asked questions

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