CSE-404 Machine Learning Lab

E-mail: atik@cse.green.edu.bd

☎ Mob. +8801912961096

Room: A-510 Desk No.: 08

Class Routine – Fall 2026 Semester

Day	08:30-10:00	10:00-11:30	11:30-13:00	Break	13:30-15:00	15:00-16:30	16:30-18:00	18:00-19:30
Sat		Research Time	Research Time
Sun		Tutor Time	Tutor Time		CSE 401 232_D2 A-602
Mon		Tutor Time	CSE 403 241_D1 B-206		Weekly Academic Committee Meeting (WACM)	Weekly Academic Committee Meeting (WACM)
Tue		CSE 401 232_D2 K-103	Tutor Time		Tutor Time
Wed	CSE 404 241_D2 A-502	CSE 404 241_D2 A-502	CSE 403 241_D1 A-603		CSE 404 241_D3 A-501	CSE 404 241_D3 A-501

Lab Activity Outline

Class	Experiment Title	COs	Reference	Activities
1	Introduction to Machine Learning: Data and Relevant Python Libraries	1, 2, 3	Lab Manual No. 1	Experiments
2	Implementing Data Preprocessing Techniques in Machine Learning	1, 2, 3	Lab Manual No. 2	Experiments
3	Implementing and Analyzing the Linear Regression Algorithm	1, 2, 3	Lab Manual No. 3	Experiments
4	Implementing and Analyzing the Logistic Regression Algorithm	1, 2, 3	Lab Manual No. 4	Experiments
5	Implementing and Analyzing K-Nearest Neighbors (KNN) and Naive Bayes Classifier	1, 2, 3	Lab Manual No. 5	KNN, Naive Bayes
6	Implementing and Analyzing Decision Trees and Support Vector Machines (SVM)	1, 2, 3	Lab Manual No. 6	Experiments
7	Implementing and Analyzing Artificial Neural Networks	1, 2, 3	Lab Manual No. 7	Experiments
8	Introduction to and Implementation of Convolutional Neural Networks (CNNs)	1, 2, 3	Lab Manual No. 8	Experiments
9	Introduction to and Implementation of Generative Adversarial Networks (GANs)	1, 2, 3	Lab Manual No. 9	Experiments
10	Ensemble Learning: Bagging, Boosting, and Stacking with Real-World Datasets	1, 2, 3	Lab Manual No. 10	Experiments
11	Project Presentation	1, 2, 3		Presentation, Viva
12	Final Examination	1, 2, 3