INT234 — Predictive Analytics
Study Units
My Weak QuestionsIntroduction and Data Preparation
SUPERVISED LEARNING: REGRESSION
SUPERVISED LEARNING: CLASSIFICATION
UNSUPERVISED LEARNING: CLUSTERING AND PATTERN DETECTION
Dimensionality Reduction and Neural Networks
MODEL PERFORMANCE
Continuous Assessment
3 components
Scenario-based questions will be asked from the students to evaluate their understanding of the various concepts.
Week 5 / 6
Rubric
Student will be evaluated on the basis of case based questions.
Project assessment covering the problem statement and dataset (10 marks); implementation, report, and viva (60 marks), including data cleaning and visualization, EDA and statistical analysis, model development and evaluation, report format, technical writing, and viva; LinkedIn engagement (10 marks); and GitHub contributions through commits, pull requests, and stars (20 marks).
Week 5 / 11
Rubric
To understand the knowledge gained by the students in the form of project.
Subjective Test covering syllabus from CA1 and CA2.
Week 11 / 12
Rubric
To test the subject knowledge of the students and provide opportunity to improve their CA performance in case of low marks or any missed CA.
Exams & Practice
End Term Examination
Final semester comprehensive evaluation
50%Type: Practical
INT234 - FAQs
How many units are in INT234?
INT234 has 6 units. Each unit includes detailed notes and MCQ practice questions.
What exam resources are available for INT234?
Unit-wise notes and MCQ practice are available. Exam resources coming soon.
How to prepare for INT234 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.