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Machine Learning using Weka Software

Machine Learning using Weka Software

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.

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

Course Information

Computer Knowledge
Basic coding knowledge

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

Beginner Data Analyst and Data Scientist interested to learn Machine Learning and Weka.

• Lifetime Access to Each Course
• Certificate on Completion of Course
• No Extra Charges Or Admin Fees
• Easy Access to Courses
• High Priority Support After Sales.
• Big Discounts on Individual Courses

Course Specifications

Our great AI and Machine Learning courses include Artificial Intelligence, Coding and Programming. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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