CSE-412 Machine Learning Lab



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

🕾 Mob. +8801912961096

:office: Room: A-510 Desk No. : 06

Class Routine – Summer 2025 Semester


Time
Day		 08:30 - 10:00 10:00 - 11:30 11:30 - 01:00 Break 01:30 - 03:00 03:00 - 04:30
Sat CSE 412 221_D3
K-101		 CSE 412 221_D3
K-101		     CSE 411 221_D3
K-105		  
Sun CSE 318 231_D3
K-101		 CSE 318 231_D3
K-101		     CSE 411 221_D3
K-105		  
Mon CSE 412 221_D3
K-101		 CSE 412 221_D3
K-101		     CSE 411 221_D3
K-105		 Capstone Project/Thesis Meeting
Tue CSE 318 231_D3
K-101		 CSE 318 231_D3
K-101		        
Wed            



Lab Activity Outline

Class Experiment Title COs Reference Activities
1 Introduction to ML: Introduction data and relevant Python libraries. 1, 2, 3 Lab Manual No. 1 Experiments
2 Implementing Data preprocessing techniques in ML 1, 2, 3 Lab Manual No. 2 Experiments
3 Implementing and Analyzing linear regression algorithm 1, 2, 3 Lab Manual No. 3 Experiments
4 Implementing and Analyzing logistic regression algorithm 1, 2, 3 Lab Manual No. 4 Experiments
5 Implementing and Analyzing K means algorithm 1, 2, 3 Lab Manual No. 5 Experiments
6 Implementing and Analyzing KNN algorithm 1, 2, 3 Lab Manual No. 6 Experiments
7 Implementing and Analyzing artificial neural network algorithm 1, 2, 3 Lab Manual No. 7 Experiments
8 Implementing and Analyzing backpropagation algorithm 1, 2, 3 Lab Manual No. 8 Experiments
  Midterm Examination      
9 Introduction to convolutional neural networks 1, 2, 3 Lab Manual No. 9 Experiments
10 Implementing and analyzing naive Bayes classifier 1, 2, 3 Lab Manual No. 10 Experiments
11 Implementing and analyzing hidden Markov models 1, 2, 3 Lab Manual No. 11 Experiments
12 Implementing and analyzing Markov decision processes 1, 2, 3 Lab Manual No. 12 Experiments
13 Review      
14 Project Presentation 1, 2, 3   Presentation, Viva
15 Final Examination 1, 2, 3   Â