DIU-BLC
Machine Learning Technique (Fall 2021)
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Course data
Welcome to Machine Learning Technique
MLT Online Class Link
Announcements
Week 1 (Introduction)
Wk 1.0.1: Linear Models Basic Discussion [slide] {NEW}
Wk 1.0: Introduction-ML-V2 [slide discussion] {NEW}
Logistic Regression
Lab-1: Basics of Python
Lab-2: Numpy & Pandas
Supervised Learning: Classification & Regression
Basics of Python and Google Colab
W1 Ref
𝓦𝓮𝓮𝓴 2 {𝓢𝓾𝓹𝓮𝓻𝓿𝓲𝓼𝓮𝓭 𝓛𝓮𝓪𝓻𝓷𝓲𝓷𝓰}
Classification: Decision Tree
Working with numpy & pandas & decision trees
𝓦𝓮𝓮𝓴 3 {𝓢𝓾𝓹𝓮𝓻𝓿𝓲𝓼𝓮𝓭 𝓛𝓮𝓪𝓻𝓷𝓲𝓷𝓰}
Naive bayes classifier, Ensemble methods
Class Test 01
CT Answer Script
Question paper
Class Test Submission (deadline: 7th November 10.00pm)
Week 5: Midterm Examination
Midterm Survey
Midterm Answer Script Format
Midterm Question
Submit your answer script here (deadline: 22.30pm 15 November)
𝓦𝓮𝓮𝓴 4 {𝓢𝓾𝓹𝓮𝓻𝓿𝓲𝓼𝓮𝓭 𝓛𝓮𝓪𝓻𝓷𝓲𝓷𝓰}
Review Discussion on Decision Tree
Ref: Gradient Descent
ANN
𝓦𝓮𝓮𝓴 6 {Assignment on 𝓢𝓾𝓹𝓮𝓻𝓿𝓲𝓼𝓮𝓭 𝓛𝓮𝓪𝓻𝓷𝓲𝓷𝓰}
𝓦𝓮𝓮𝓴 7: 𝓤𝓷𝓼𝓾𝓹𝓮𝓻𝓿𝓲𝓼𝓮𝓭 𝓛𝓮𝓪𝓻𝓷𝓲𝓷𝓰
Unsupervised Learning
𝓦𝓮𝓮𝓴 8: K means Clustering
K-means Clustering
Week 9: Presentation
Communication technique
Submit Your Recorded Presentation (deadline: 11 December 2021)
Class Test 02
Quiz 2
Class Test 03
Quiz 3
𝓦𝓮𝓮𝓴 10: 𝓤𝓷𝓼𝓾𝓹𝓮𝓻𝓿𝓲𝓼𝓮𝓭 𝓛𝓮𝓪𝓻𝓷𝓲𝓷𝓰
𝓦𝓮𝓮𝓴 11: 𝓜𝓸𝓭𝓮𝓵 𝓔𝓿𝓪𝓵𝓾𝓪𝓽𝓲𝓸𝓷
𝓦𝓮𝓮𝓴 13: 𝓡𝓮𝓿𝓲𝓮𝔀 𝓓𝓲𝓼𝓬𝓾𝓼𝓼𝓲𝓸𝓷
Course Survey
Course Survey
Final Assessment
Final Assessment Submission (deadline: 1 Sep 10.30pm)
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CSE 621 (SMAH-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 621 (SMAH-213)
Summary
Machine Learning Technique (Fall 2021)
Teacher:
Aminul Haque
Teacher:
Md. Sadiqur Rahman (MSAD)
Skill Level
:
Beginner