Machine Learning with Java and Weka – Free Course Site

This is the bite-size course to learn Java Programming for Machine Learning and Statistical Learning with the Weka library. In the 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

1. Introduction
2. Getting Started
3. The Getting Started 2
4. Getting Started 3
5. Data Mining Process
6. Data set
7. Split Training and Testing dataset
8. Create Java Application using Netbeans with Weka Jar
9. Simple Linear Regression
10. Linear Regression using Weka and Java
11. Linear Regression using Weka and Java 2

Machine Learning with Java and Weka Course

1. Linear Regression using Weka and Java 3
2. KMeans Clustering
3. KMeans Clustering in Weka and Java
4. Agglomeration Clustering
5. Agglomeration Clustering in Weka and Java
6. Decision Tree ID3 ALgorithm
7. Decision Tree in Weka and Java
8. KNN Classification
9. KNN in Weka and Java
10. Naive Bayes Classification
11. Naive Bayes in Weka and Java
12. Neural Network Classification
13. Neural Network in Weka and Java
14. What Algorithm to Use?
15. Model Evaluation
16. Model Evaluation in Weka and Java
17. Create a Data Mining Software
18. Create a Data Mining Software 2