Practice Tests
Interactive practice problems with step-by-step solutions for exam preparation
→Lecture Notes
Comprehensive notes covering all lecture topics with examples and explanations
→Solutions
Detailed solutions to assignments and practice problems
→Materials
Additional course materials, references, and resources
→📋 Topics Covered
🔍 k-NN Classification
📊 Naive Bayes
🧮 K-Means Clustering
⚡ Perceptron & Delta Rule
📈 Confusion Matrix
🎯 Precision & Recall
🔢 F-Measure
🌳 Decision Trees