CT Exam Preparation Package
Course: Machine Learning Algorithms (21CSC555J)
Assessment: Continuous Test (CT) - Module 1 + Module 2
Duration: 2 hours (estimated)
Total Study Materials: 5 complete documents
What's Included
This comprehensive study package covers Module 1 and Module 2 of your Machine Learning course with:
- Complete Study Guide - Theory, concepts, worked examples
- 22 Practice Problems - With full solutions
- Python Code Examples - All implementations
- Study Checklist - Week-by-week breakdown
- Quick Reference - Formulas and key concepts
Quick Start
If you have 5 hours:
- Read Linear Regression Basics
- Do Practice Problems Set 1-2
- Review Common Mistakes
If you have 1 week:
Follow the Day-by-Day Study Plan
If you have 2 weeks:
Work through materials systematically in order
Navigation
Module 1 Topics:
Module 2 Topics:
- Cross-Validation
- Classification Metrics
- Multiple Regression
- Logistic Regression
Practice & Review:
- Practice Problems (22 total)
- Python Code Guide
- Common Mistakes
- Exam Checklist
Study Timeline
Week 1: Foundations
Day 1-2: Module 1 theory
Day 3-4: Practice problems
Day 5-6: Python code + review
Day 7: Rest
Week 2: Mastery
Day 8-9: Module 2 deep dive
Day 10-11: Comprehensive practice
Day 12: Review + create cheat sheet
Day 13: Final preparations
Day 14: Exam day!
Learning Outcomes
After completing this package, you'll be able to:
- ✓ Calculate linear regression coefficients by hand
- ✓ Calculate all 5 error metrics (MAE, MSE, RMSE, R², Adj R²)
- ✓ Diagnose overfitting vs underfitting
- ✓ Understand bias-variance tradeoff
- ✓ Implement cross-validation (K-fold)
- ✓ Calculate confusion matrix and classification metrics
- ✓ Interpret regression coefficients correctly
- ✓ Write Python code for any algorithm
- ✓ Solve problems under exam time pressure
By The Numbers
- Total study materials: 5 documents
- Total lines of content: 3,350+ lines
- Practice problems: 22 with complete solutions
- Code examples: 15+ runnable implementations
- Study time needed: 14-19 hours
- Expected score with full effort: 75-95%
Start Your Preparation
Choose your path:
- Start with Day 1 Tasks
- Read Module 1 Overview
- Jump to Practice Problems
- See Python Code Examples
Pro Tips
✓ Practice by hand first - Understand the concept
✓ Show all work - Partial credit matters in exams
✓ Write code along - Run examples yourself
✓ Review mistakes - Learn why each is wrong
✓ Time yourself - Exam conditions matter
✓ Sleep well - Your brain needs rest
Quick Links
- Search for a topic - Use site search
- View all practice problems - 22 problems organized by difficulty
- Get Python code - Copy-paste ready implementations
- Check daily tasks - Track your progress
Ready to ace your CT exam? Let's get started!