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Course Detail

Course Name Introduction to ML – Decision trees, Clustering, Regression
Course Code 24AIM131
Program B.Tech. Artificial Intelligence (AI) and Data Science (Medical Engineering)
Semester I
Credits 4
Campus Coimbatore

CO: The student should be able to develop validated classification and regression models for real world problems

What is data mining? Examples of data mining
Input: concepts, instances, attributes
Different types of attributes
Output: Knowledge representation
Decision Trees, Regression, clustering.
Mathematics behind Decision trees
Regression – Formulation -Solution in Excel
Classification- formulation as regression- solution in Excel
Training, testing, cross-validation

References

  1. https://www.cs.waikato.ac.nz/ml/weka/book.html
  2. Videos:https://www.cs.waikato.ac.nz/ml/weka/courses.html

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