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

  12. LInear Regression using Weka and Java 3

  13. KMeans Clustering

  14. KMeans Clustering in Weka and Java

  15. Agglomeration Clustering

  16. Agglomeration Clustering in Weka and Java

  17. Decision Tree ID3 ALgorithm

  18. Decision Tree in Weka and Java

  19. KNN Classification

  20. KNN in Weka and Java

  21. Naive Bayes Classification

  22. Naive Bayes in Weka and Java

  23. Neural Network Classification

  24. Neural Network in Weka and Java

  25. What Algorithm to Use?

  26. Model Evaluation

  27. Model Evaluation in Weka and Java

  28. CReate a Data Mining Software

  29. CReate a Data Mining Software 2


JUST $12.99 

https://www.udemy.com/machine-learning-with-java-and-weka/?couponCode=FBDISCOUNT5