Brief Introduction
Learn how to use popular packages that extend Weka's functionality and areas of application. Use them to mine your own data!Course Summary
Learn advanced data mining techniques with Weka, a popular open-source software tool, in this comprehensive online course. You'll gain practical experience in data preprocessing, classification, clustering, and more.Key Learning Points
- Master advanced data mining techniques using Weka
- Gain practical experience in data preprocessing, classification, clustering, and association rule mining
- Learn to evaluate and interpret the results of data mining experiments
Job Positions & Salaries of people who have taken this course might have
- Data Scientist
- USA: $96,072
- India: ₹770,000
- Spain: €34,000
- Data Analyst
- USA: $63,000
- India: ₹490,000
- Spain: €24,000
- Machine Learning Engineer
- USA: $112,769
- India: ₹1,500,000
- Spain: €45,000
Related Topics for further study
Learning Outcomes
- Apply advanced data mining techniques using Weka
- Evaluate and interpret the results of data mining experiments
- Gain practical experience in data preprocessing, classification, clustering, and association rule mining
Prerequisites or good to have knowledge before taking this course
- Basic understanding of data mining concepts
- Familiarity with Weka software
Course Difficulty Level
AdvancedCourse Format
- Online
- Self-paced
Similar Courses
- Data Science Essentials
- Data Mining with Python
- Applied Data Science with Python
Related Education Paths
Notable People in This Field
- Pedro Domingos
- Andrew Ng
Related Books
Requirements
- This course is aimed at anyone who deals in data. You should have completed and – or be an experienced Weka user. Although the course includes some scripting with Python, you need no prior knowledge of the language. You will have to install and configure some software components; we provide full instructions.
Knowledge
- Time series analysisData stream miningIncremental classifiersEvolving data streamsSupport vector machinesAccessing data mining in RDistributed data miningMap-reduce frameworkScripting data mining in Python and GroovyApplications: Soil analysis, Sentiment analysis, Bioinformatics, MRI neuroimaging, Image classification
Summary of User Reviews
Discover advanced data mining techniques with WEKA. Learn from experts in the field and improve your data mining skills. Find out what users have to say about this course.Key Aspect Users Liked About This Course
The course offers practical examples and hands-on experience in advanced data mining techniques.Pros from User Reviews
- Great practical examples and hands-on experience
- Expert instructors with deep knowledge in the field
- Well-structured course with clear explanations and useful resources
- Opportunities to apply learned concepts to real-world problems
- Flexible schedule and self-paced learning
Cons from User Reviews
- Requires a basic understanding of WEKA and data mining
- Some users found the course challenging and time-consuming
- Limited interaction with instructors and other students
- Lack of personalized feedback on assignments
- No certificate offered for completion
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