DIU-BLC
Data Mining (Fall-21)
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Course data
Welcome to Data Mining ( Sections: PC-C, PC-D, PC-F)
Counseling Hour
Announcements
Counseling Hour
Announcements
Class Lecture Video Datamining O3 (2020-09-12 at 01:42 GMT-7)
Datamining O2 (2020-09-13 at 02:32 GMT-7
Datamining O4 (2020-09-14 at 23:03 GMT-7)
Datamining O5 (2020-09-15 at 19:39 GMT-7)
Datamining O2 (2020-09-16 at 02:32 GMT-7)
Datamining O5 (2020-09-18 at 21:25 GMT-7)
Datamining O3 (2020-09-19 at 02:21 GMT-7)
Datamining O2 (2020-09-19 at 20:02 GMT-7)
Datamining O5 (2020-09-22 at 19:44 GMT-7)
Datamining O4 (2020-09-22 at 22:52 GMT-7)
Datamining O2 (2020-09-23 at 01:36 GMT-7)
Datamining O5 (2020-09-25 at 21:14 GMT-7)
Datamining O5 (2020-09-25 at 21:43 GMT-7)
Datamining O2 (2020-09-26 at 20:21 GMT-7)
Datamining O2 (2020-09-26 at 19:46 GMT-7)
Datamining O3 (2020-09-26 at 23:37 GMT-7)
Datamining O4 (2020-09-28 at 22:53 GMT-7)
Datamining O9 (2020-09-28 at 00:23 GMT-7)
Datamining O9 (2020-10-05 at 00:22 GMT-7)
Datamining O2-O5 (2020-10-13 at 20:16 GMT-7)
Datamining O3, O9 (2020-10-17 at 01:42 GMT-7)
Datamining O5 (2020-11-17 at 18:51 GMT-8)
Section 4: KNN
Section O4: KNN Lab
Section O4: Bayesian Classification
Datamining O2 (2020-11-21 at 18:43 GMT-8)
Week 1: Introduction
Course Outlines
Course Assessment Plan
Text Book: Introduction to Data Mining - Tan
Reference Reading Materials
Course Motivation Test
Week 1 Class discussions
Course Outlines
Course Assessment Plan
Text Book: Introduction to Data Mining - Tan
Reference Reading Materials
Course Motivation Test
Week 1 Class discussions
Compare Data Mining, DBMS and Statistics
Week 2: Working with Data
Week 3: Data Exploration
About Data (videos)
About Data & Project Guidelines (readings)
Lab: Data Processing
Weekly_Quiz (deadline: 1 October)
Week 3 Discussion Forum
About Data (videos)
About Data & Project Guidelines (readings)
Lab: Data Processing
Weekly_Quiz (deadline: 1 October)
Week 3 Discussion Forum
Class Test-1
Week 4: Classification and Prediction
Exploring data (videos)
Exploring data (readings)
Lab: Data pre-processing
Weekly_Quiz (deadline: 29 October)
Week 4 Discussion Forum
Exploring data (videos)
Exploring data (readings)
Lab: Data pre-processing
Weekly_Quiz (deadline: 29 October)
Week 4 Discussion Forum
Another PPT of Classification
Another Resource of Entropy and Gain
Class performance test
Lab Practice: Google Colab Link Sheet: O2
Lab1 O3
Lab1 O4
Lab1 O5
Lab1 O9
Week 5: Classification Tuning
CT Answer Script
Question Paper
Upload your answer script here (no email submission is allowed)
CT Answer Script
Question Paper
Upload your answer script here (no email submission is allowed)
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
Introduction to classification (videos)
Introduction to classification (readings)
Lab: Working with python & classification
Weekly_Quiz (deadline: 29 October)
Week 5 Discussion Forum
Introduction to classification (videos)
Introduction to classification (readings)
Lab: Working with python & classification
Weekly_Quiz (deadline: 29 October)
Week 5 Discussion Forum
Mid Exam Guideline
Class test 2 - Download question and answer script. Submit answer here.
KNN Another Resource
Lab2_KNN_O2, O5
Lab 2 KNN Submission: Section-O5
Lab2 KNN: Section O3, O9
Lab 2 KNN Submission: Section-O2
Lab 2 KNN Submission: Section-O3
Lab 2 KNN Submission: Section-O4
Lab 2 KNN Submission: Section-O9
Bayes' Theorem Example
Extra Resource - Naive Bayes
Week 7: Mid Exam
Class Test Answer Script
CT02 Qs Paper
Class Test Answer Script
CT02 Qs Paper
Download Mid Term Exam Answer Script
Download Mid Term Exam Question Paper
Answer Script Submission Link
Week 8: Association Rule Mining
Midterm Survey
Midterm Answer Script
Midterm Survey
Midterm Answer Script
Apriori pdf resource
Assignment on Apriori Algorithm
Week 9: Working with Clustering
Classification evaluation (videos)
Classification evaluation (readings)
Lab: Working with python & regression
Weekly_Quiz (deadline: )
Week 7 Discussion Forum
Classification evaluation (videos)
Classification evaluation (readings)
Lab: Working with python & regression
Weekly_Quiz (deadline: )
Week 7 Discussion Forum
K-MEAN Clustering
Class Test 3 (K-MEAN)
Week 10: Neural Network
Basic Neural Network
Class Video
Week 11: Course Project Discussion
Association Rules Mining (videos)
Associate Rules Mining (readings)
Lab: Working with python & Association rules mining
Association Rules Mining (videos)
Associate Rules Mining (readings)
Lab: Working with python & Association rules mining
Project Presentation Guideline
Hierarchical Clustering
Week 12: Review Week
Clustering (videos)
Clustering (readings)
Lab: Working with python & clustering
Clustering (videos)
Clustering (readings)
Lab: Working with python & clustering
Write five real life example scenarios that can be solved by data mining.
Week 13: Final Exam
Final Exam FALL 2020: Answer Script Template
Final Exam Fall 2020: Question Paper
Final Exam Fall 2020: Answer Script Submission Link
Class Test 03
Presentation
Communication technique
Communication technique
Final Examination
Final Answer Script
Final Question Paper
Upload your answer script here (no email submission is allowed)
Final Answer Script
Final Question Paper
Upload your answer script here (no email submission is allowed)
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CSE 450 (AB-213)
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Course info
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Courses
DIU
Faculty of Science and Information Technology
Computer Science and Engineering
CSE Fall 2021
CSE 450 (AB-213)
Summary
Data Mining (Fall-21)
Teacher:
Amatul Bushra Akhi
Skill Level
:
Beginner