ML-S3(24-25 Sem-2)

Topic outline

• Machine Learning(20CS3602-PVP20) SECTION-3
  
  

  Machine Learning(20CS3602-PVP20) SECTION-3

  • Announcements Forum
  • Academic Calendar File
  • YS-Individual TT File
• Syllabus, Micro Syllabus, Strength of Correlation, Justification
  
  

  Syllabus, Micro Syllabus, Strength of Correlation, Justification

  • Syllabus File
  • Micro Syllabus File
  • Strength of Correlation File
  • Machine Learning Justification File
• Lesson Plan
  
  

  Lesson Plan

  • Lesson Plan File
• Question Bank, Model Paper
  
  

  Question Bank, Model Paper

  • ML Question Bank File
  • ML Model Paper File
• UNIT-I : Introduction & Decision Tree Learning
  
  

  UNIT-I : Introduction & Decision Tree Learning

  • Machine Learning Introduction File
  • Well posed & Designing a Learning System File
  • Perspectives & issues in ML File
  • Applications of ML File
  • Decision Tree Learning File
  • Decision Tree Problems File
• UNIT-II: Artificial Neural Networks
  
  

  UNIT-II: Artificial Neural Networks

  • ANN Introduction File
  • Appropriate Problems in Neural Network Learning File
  • Perceptrons & its Training Rule File
  • Multi Layer Perceptron & back Propagation Algorithm File
  • Multi Layer Perceptron & back Propagation Algorithm File
• UNIT-III: Bayesian Learning & Evaluating Hypothesis
  
  

  UNIT-III: Bayesian Learning & Evaluating Hypothesis

  • Introduction to bayes Theorem: naive bayes Theorem File
  • Evaluating Hypothesis File
  • Measuring Classifier Accuracy File
  • Ensemble Methods File
• UNIT-IV: Support Vector Machine & Instance based Learning
  
  

  UNIT-IV: Support Vector Machine & Instance based Learning

  • Support Vector Machine- Linearly Separable Problem File
  • Support Vector Machine- Non Linear Seperable Problems File
  • SVM Poblems File
  • Instance Based Learning- K- Nearest Neighbor Algorithm File
  • Weighted KNN Problems File
  • Case Based Reasoning File
• UNIT-V: Unsupervised Learning
  
  

  UNIT-V: Unsupervised Learning

  • Introduction and Partition based Methods File
  • Hierarchical Methods File
  • DBSCAN Algorithm File
  • Grid based Learning - STING File
  • Cluster Evaluation Measures File
• Internal Exam Papers (MID &Objective)
  
  

  Internal Exam Papers (MID &Objective)

  • Descriptive-I File
  • Objective-I File
  • Descriptive-II File
  • Objective-II File
• Internal Exam Question Papers Schemes
  
  

  Internal Exam Question Papers Schemes

  • Descriptive-I Scheme File
  • Descriptive-II Scheme File
• Previous Exam Question papers
  
  

  Previous Exam Question papers

  • A.Y 2023-24 File
  • A.Y 2022-23 File
  • A.Y 2021-22 File
• ML Puzzles
  
  

  ML Puzzles

  • ML Puzzles(Total-6) File
• External Exam Question Paper with Scheme
  
  

  External Exam Question Paper with Scheme

  • External Exam Paper with Scheme(2024-25) File
  • ML External Exam Short Scheme(2024-25) File