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Data Mining (Spring 2022)
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Bayes rule
Data Mining (Fall 2021) _CSE450 (SAK 213)
Announcements
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Week 1: Introduction
Week 2: Working with Data
Assignment-1
Week 3: Data Exploration
Quiz 01
Week 4: Classification and Prediction
Tutorials Point Lab Practice: scikit-learn
Another PPT of Classification
Another Resource of Entropy and Gain
Week 5: Classification Tuning
Decision Tree pdf
Decision Tree Entopy Gain
Gini Index
Week 6: Nearest Neighbor and Bayesian Classification
Bayes rule
Class Activities Resource Link on Bayes Classifier
MID
Week 8: Association Rule Mining
Apriori pdf resource
Week 9: Working with Clustering
K-MEAN Clustering
Quiz 2
Week 10: Neural Network
Basic Neural Network
Week 11: Course Project Discussion
Project Presentation Guideline
EXTRA QUIZ
Assignment & Presentation
Presentation Record Link
Presentation Slide
Assignment on Rule Mining
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CSE450(SAK-221)
Week 6: Nearest Neighbor and Bayesian Classification
Bayes rule
Bayes rule
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bayesrule-160110104729.pdf
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Announcements
Announcements
Assignment-1
Quiz 01
Tutorials Point Lab Practice: scikit-learn
Another PPT of Classification
Another Resource of Entropy and Gain
Decision Tree pdf
Decision Tree Entopy Gain
Gini Index
Class Activities Resource Link on Bayes Classifier
Apriori pdf resource
K-MEAN Clustering
Quiz 2
Basic Neural Network
Project Presentation Guideline
Presentation Record Link
Presentation Slide
Assignment on Rule Mining
Next Activity
