Machine Learning with Java and Weka

Locus IT Services Pvt. Ltd. > Courses > Data Science > Machine Learning with Java and Weka

Duration: Hours

Weka Machine Learning Algorithms. Weka has a lot of machine learning algorithms. This is great, it is one of the large benefits of using Weka as a platform for machine learning and it is a down side that it can be a little overwhelming to know which algorithms to use, and when.

Training Mode: Online

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Description

Machine Learning with Java and Weka Objective :

a). Create a data product using Weka and Java

a). Introduction

1. Data Mining Process

2. Dataset

3. Split Training and Testing Dataset

4. Create Java Applications in Netbeans with Weka

5. Simple Linear Regression

6. Linear Regression using Weka and Java

7. KMeans Clustering

8. KMeans Clustering using Weka and Java

9. Agglomeration Clustering

10. Agglomeration Custering in Weka and Java

11. Decision Tree Algorithm: ID3

12. Decision Tree Algorithm: ID3 using Weka and Java

13. KNN Classification

14. KNN Classification using Weka and Java

15. Naive Bayes Algorithm

16. Naive Bayes Algorithm using Weka and Java

17. Neural Network

18. What Algorithm to use?

19. Model Evaluation using Weka and Java

Requirements

a). Computer Skills, Java Programming

For more inputs on Machine Learning with Java and Weka you can connect here.
Contact the L&D Specialist at Locus IT.

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