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Machine Learning with Java and Weka

Machine Learning with Java and Weka

This is the bite size course to learn Java Programming for Machine Learning and Statistical Learning with Weka library. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage.

Overview

About this Course
This is the bite size course to learn Java Programming for Machine Learning and Statistical Learning with Weka library. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage.

You will need to know some Java programming, and you can learn Java programming from my "Create Your Calculator: Learn Java Programming Basics Fast" course. You will learn Java Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

Basic knowledge
Computer Knowledge
Basic coding knowledge

Course Information

Computer Knowledge
Basic coding knowledge

What you will learn
Content

Introduction
Getting Started
Getting Started 2
Getting Started 3
Data Mining Process
Data set
Split Training and Testing dataset
CReate Java Application using Netbeans with Weka Jar
Simple Linear Regression
LInear Regression using Weka and Java
LInear Regression using Weka and Java 2
LInear Regression using Weka and Java 3
KMeans Clustering
KMeans Clustering in Weka and Java
Agglomeration Clustering
Agglomeration Clustering in Weka and Java
Decision Tree ID3 ALgorithm
Decision Tree in Weka and Java
KNN Classification
KNN in Weka and Java
Naive Bayes Classification
Naive Bayes in Weka and Java
Neural Network Classification
Neural Network in Weka and Java
What Algorithm to Use?
Model Evaluation
Model Evaluation in Weka and Java
CReate a Data Mining Software
CReate a Data Mining Software 2

Beginner Data Analyst or Data Scientist interested in using Weka in Java

• Lifetime Access to Each Course
• Certificate on Completion of Course
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Course Specifications

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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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