Brief Introduction
Machine Learning and Statistical Learning with JavaDescription
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.
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
Requirements
- Requirements
- Computer Skills, Java Programming
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