This is a bite-size course to learn Weka and machine learning. You will learn machine learning, which is the model and evaluation of the CRISP data mining process.

What will you learn in this course?

You will learn linear regression, Kmeans clustering, agglomeration clustering, KNN, Naive Bayes, and neural network in this course.

Content

1. Getting Started
2. Getting Started 2
3. Data Mining Process
4. Simple Linear Regression
5. Regression in Weka
6. KMeans Clustering
7. KMeans Clustering in Weka
8. Agglomeration Clustering
9. Agglomeration Clustering in Weka
10. Decision Tree: ID3 Algorithm
11. Decision Tree in Weka
12. KNN Classification
13. KNN in Weka
14. Naive Bayes
15. Naive Bayes in Weka
16. What Algorithm to Use?
17. Model Evaluation
18. Weka Advanced Attribute Selection
19. Weka Advanced Data Visualizations
20. Weka Model Selection and Deployment