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Overall Score : 20 / 100

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Course Description

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
Who this course is for:
  • Beginner Data Analyst and Data Scientist interested to learn Machine Learning and Weka.

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Instructor Details

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SVBook Pte. Ltd. started in April 2016. SVBook Pte. Ltd. offers affordable, easy to read Data Mining, Text Mining, Data Analytics, Programming books for professional and lifelong learning. SVBook Pte. Ltd. offers courses at EMHAcademy. SVBook Pte. Ltd. developed softwares over the time, and uploaded them at DSTK.Tech. SVBook Pte. Ltd. courses, books and softwares assists people to step into new fields of Data Science, Internet of Things, Smart Cities and etc. before going into more advanced courses at Coursera and EdX, which are at University Level.

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By Tansu Gorgun

i cant understand anything what he say, sorry but this is the worst english i have ever heard