DIU-BLC
Data Mining (Fall 2021)
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Course data
Welcome to Data Mining
Announcements
Student Attendance
Course Introduction
Week 1: Introduction
Discussion Thread (W-1): What you learn Today
Google Meet Class Video (Sec-C)
Google Meet Class Video (Sec-D)
Lab Session Week-1
Google Meet Class Video (Sec-C)
Google Meet Class Video (Sec-D)
Week 2: Working with Data
Find some problems around you that can be solved by data mining.
Python Basic Quiz
Discussion Thread (W-2): What you learn Today
Google Meet Class Video W-2 P-1 (C)
Google Meet Class Video W-2 P-2 (C)
Google Meet Class Video W-2 P-1 (D)
Google Meet Class Video W-2 P-2 (D)
Lab Session Week-2
Missing Data Correction [Python Code]
Week 3: Data Exploration
Class Discussion-Normalization Techniques
Discussion Thread (W-3): What you learn Today
Google Meet Class Video-3 L-1 (C)
Google Meet Class Video-3 L-2 (C)
Google Meet Class Video-3 L-1 (D)
Google Meet Class Video-3 L-2 (D)
Week-3 Lab Session
Week 4: Classification and Prediction
Another PPT of Classification
Another Resource of Entropy and Gain
Discussion Thread (W-4): What you learn Today
Google Meet Class Video-4 (E)
Google Meet Class Video-4 (F) Part-1
Google Meet Class Video-4 (F) Part-2
Week-4 Lab Session
Lab Practice: Google Colab Link Sheet: O2
Week 5: Classification Tuning
Decision Tree pdf
Class Video Link - Decision Tree
Decision Tree Entopy Gain
Decision Tree: Submission the result of entropy and gain
Gini Index
Gini Index Video
Week 6: Nearest Neighbor and Bayesian Classification
Mid Exam Guideline
Bayes' Theorem Example
Extra Resource - Naive Bayes
Google Meet Class Video-6 (E)
Google Meet Class Video-6 (F)
Classification basic test
Week 7: Mid Exam
Midterm Exam Question and Answer Script
Week 8: Association Rule Mining
Apriori pdf resource
Assignment on Apriori Algorithm
Assignment on Apriori Algorithm
Discussion Thread (W-8): What do you learn Today
Google Meet Class Video-8 (E)
Google Meet Class Video-8 (F)
Week 9: Working with Clustering
K-MEAN Clustering
Hierarchal Clustering Approach
Presentation Upload Link (Sec-C)
Presentation Upload Link (Sec-D)
Discussion Thread (W-9): What do you learn Today
Google Meet Class Video-9 (E) P-1
Google Meet Class Video-9 (E) P-2
Google Meet Class Video-9 (F) P-1
Google Meet Class Video-9 (F) P-2
Week 10: Neural Network
Basic Neural Network
Discussion Thread (W-10): What do you learn Today
Google Meet Class Video (E) P-1
Google Meet Class Video (E) P-2
Google Meet Class Video (F) P-1
Google Meet Class Video (F) P-2
Week 11: Course Project Discussion
Project Presentation Guideline
Hierarchical Clustering
Week 12: Review Week
Write five real life example scenarios that can be solved by data mining.
Week 13: Final Exam
Final Exam Summer 2021 Question Paper
Research Work
Myocardial infarction complications Data Set
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DM (ZH-213)
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Course info
Home
Courses
DIU
Faculty of Science and Information Technology
Computer Science and Engineering
CSE Fall 2021
DM (ZH-213)
Summary
Data Mining (Fall 2021)
Teacher:
Md Zahid Hasan (ZH)
Skill Level
:
Beginner