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INT394 Units

MACHINE LEARNING ALGORITHMS

INT394 3 Credits L:3 T:0 P:0

Through this course students should be able to analyze foundational concepts and learning paradigms in machine learning, interpret classification techniques and probabilistic models, and understand regression and clustering algorithms for predictive modelling.

Continuous Assessment

Test - Code based 1 50%
Test - Code based 2 50%

Exams & Practice

Mid Term Examination

Mid-semester comprehensive evaluation

20%

All MCQ

Coming Soon

End Term Examination

Final semester comprehensive evaluation

50%

Type: Examination

MCQ + Subjective

INT394 - FAQs

How many units are in INT394?

INT394 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for INT394?

Available resources include: ETE Mock Test.

How to prepare for INT394 exams?

Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.