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SEM1 CBIA 7201 TOOLS FOR DATA SCIENCE
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Course data
General
Announcements
Class Rules & Expectations
Course Information
Course Assessments
Required Software
Weka
Orange
Required Textbook & References
E-Book Edition
Kindle Edition.
The Weka Workbench.
Weka Manual.
An Introduction to Data Science
Attendance & Participation
Taaruf/Ice Breaking Session
Week 1
Lesson Plan
Data Analysis Process
Case Study 1
Working with Data
Assignment 1
Introduction to Data Mining
Forum - Week 1 Topics
Quiz 1
Quiz 1 (Topics for Week 1)
Week 2
Introduction to Weka
Case Study 2
Data Preparation with Weka
Normalization vs. Standardization
Assignment 2
How to Load CSV Machine Learning Data in Weka
Weka Sample Datasets
Forum - Week 2 Topics
Quiz 2
Quiz 2 (Topics for Week 2)
Week 3
Data Mining Techniques - Classifiers
Understanding Confusion Matrix
Usage Example - Classification
Data Mining Techniques - Clustering
Assignment 3
Data Mining Techniques - Association Rule
Usage Example - Clustering and Association Rule
Forum - Week 3 Topics
Quiz 3
Quiz 3 (Topics for Week 3)
Take Home Exam
CBIA 7201 - Take Home Exam
Individual Project
CBIA 7201 - Final Report & Video Presentation Submission
Individual Project
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Session 2022/2023 Semester 1
INFORMATION & COMMUNICATION TECHNOLOGY
CBIA 7201 SEM1
Summary
SEM1 CBIA 7201 TOOLS FOR DATA SCIENCE
Tools for Data Science with
Weka
.
Instructor:
MUHAMAD SADRY ABU SEMAN 4621
Skill Level
:
Beginner