Learn Machine Learning with Weka
3.2 (9 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
563 students enrolled

Learn Machine Learning with Weka

Learn Machine Learning and Weka with this COurse
3.2 (9 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
563 students enrolled
Created by SVBook Pte. Ltd.
Last updated 12/2018
English
Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Machine Learning using Weka Software
Course content
Expand 22 lectures 01:17:11
+ Introduction
22 lectures 01:17:11
Simple Linear Regression
03:07
Regression for Weka
06:32
KMeans Clustering
03:05
KMeans Clustering with Weka
01:52
Agglomeration CLustering
03:45
Agglomeration Clustering with Weka
01:32
Decision Tree: ID3 Algorithm
09:15
Decision Tree with Weka
02:12
KNN Classification
03:50
KNN with Weka
01:46
Naive Bayes ALgorithm
05:36
Naive Bayes with Weka
00:48
Neural Network
05:44
Neural Network in Weka
01:17
What Algorithm to use?
01:35
Model Evaluation
03:44
Weka Advanced Attribute Selection
02:08
Weka Advanced Visualizations
03:35
Weka Model Selection
03:06
Requirements
  • Computer Knowledge
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.