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. 

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 Classiifcation

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