DIU-BLC
Data Mining and Machine Learning (Summer 2021)
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Course data
Welcome to Data Mining and Machine Learning
Announcements
OBE Course Outline
Week 1: Introduction
Lecture Slides of Week 1
Self Assessment-01
Week 2: Differences between Data Mining and Machine Learning
Lecture Slides of Week 2
TOPIC-02.1
Discussion
Week 3: Data
Lecture Slides of Week 3
Week 4: Exploring Data
Lecture Slides of Week 4
Exploring Data
Week 5: Classification and Prediction
Lectures of Week 05
Lecture Slides of Week 5
QUIZ 01
Week 6: Mid Examination
Click here to submit your answer sheet
Week 7: Classification and Prediction: Alternative Techniques
k-NN
Lecture Slides of Week 6
Discussion on Lazy and eager Learner
Week 9: Cluster Analysis
K- means Clustering
Hierarchical Clustering
Lecture Slides of Week 9
Week 10: Cluster Analysis (Continued) and Association Rule Mining
Lecture Slides of Week 11
QUIZ -02
Week 11: Association Rule Mining (Continued)
Modified Lecture
Lecture Slides of Week 12
Week 12: Artificial Neural Networks
Week 14: Final Examination
Template for online exam response
Guideline for online Exam
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CSE321 (JAP - 212)
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Course info
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DIU
Faculty of Science and Information Technology
Computer Science and Engineering
CSE Summer 2021
CSE321 (JAP - 212)
Summary
Data Mining and Machine Learning (Summer 2021)
Teacher:
Johora Akter Polin
Skill Level
:
Beginner