Machine learning Most Important Topics/Questions | ML ENDSEM | BE Comp | SPPU | 60+ Marks
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In this video, I’ve shared a complete strategy on how to score 60+ marks in your Machine Learning End Sem Exam! 🔥
📚 **Video Contents:**
✅ Unit 3: Regression – Most Important Topics (Linear Regression, Lasso, Ridge, Gradient Descent)
✅ Unit 4: Classification – KNN, SVM, Ensemble Learning, Random Forest
✅ Unit 5: Unsupervised Learning – K-Means, Hierarchical Clustering, Outlier Analysis
✅ Unit 6: Neural Networks – CNN, RNN, MLP, Backpropagation, Activation Functions
✅ PYQ Analysis (2019-2024 Papers)
✅ Most Repeated Questions
✅ Numerical Problems Focus
✅ Exam Strategy & Time Management Tips
🎯 **Who Should Watch This Video?**
– SPPU BE Computer Engineering Final Year Students
– 2019 Pattern Machine Learning (410242) Students
– Students targeting 60+ marks in End Sem Exam
📌 **Important Links:**
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💡 **Exam Pattern:**
– Duration: 2.5 Hours | Max Marks: 70
– Answer Q1 or Q2, Q3 or Q4, Q5 or Q6, Q7 or Q8
– Total 4 Questions to attempt
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