Introduction to Data Mining
- 2.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- data science
- modeling algorithms
- machine learning
- artificial intelligence
- preprocessing data
- understanding data
- business understanding
- evaluation of models
- Basic IT familiarity
Data Mining is one of the sexiest jobs today! Not only is it a high-paying job, but it is also a very interesting one!
This course covers the most important topics drawn from my experience as a computer science engineer who worked on multiple data mining projects.
This course contains 4 main sections.
The first section contains the fundamentals of data mining and the explanation of basic concepts.
The second section dives deeper into the various algorithms used in Data Mining.
The third section will give you an overview of how to work with Weka, including preprocessing, classification and clustering.
The third section is an example of a real project solution using the CRISP-DM methodology in data mining software Weka
- IT students interested in Data Mining
- Students interested in Weka
- Students interested in Data Science
- Students interested in Machine Learning
- Students interested in Artificial Intelligence