Description
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.
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 MachineLearning with Java and Weka you can connect here.
Contact the L&D Specialist at Locus IT.
Contact the L&D Specialist at Locus IT.
Locus Academy has more than a decade experience in delivering the training/staffing on Machine Learning with Java and Weka for corporates across the globe. The participants for the training/staffing on Machine Learning with Java and Weka are extremely satisfied and are able to implement the learnings in their on going projects.
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