CSE-404 Machine Learning Lab



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

🕾 Mob. +8801912961096

:office: Room: A-510 Desk No. : 08

Class Routine – Summer 2026 Semester


Day 08:30-10:00 10:00-11:30 11:30-1:00 Break 1:30-03:00 3:00-4:30
Sat CSE 435
223_D1
K-105
CSE 435
223_D1
K-105
    Tutor Time Research Meeting
Sun   CSE 403
232_D2
K-105
Tutor Time   CSE 315
241_D2
K-108
Research Meeting
Mon CSE 404
232_D4
L-106
CSE 404
232_D4
L-106
Research Meeting   CSE 310
Old Batch
A-502
CSE 310
Old Batch
A-502
Tue CSE 315
241_D2
K-108
CSE 403
232_D2
K-105
Research Meeting   Tutor Time Tutor Time
Wed            



Lab Activity Outline

Class Experiment Title COs Reference Activities
1 Introduction to ML: Introduction to 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-Nearest Neighbors (KNN) Algorithm & Naive Bayes Classifier 1, 2, 3 Lab Manual No. 5 KNN , Naive Bayes
6 Implementing and Analyzing Decision Trees and SVM 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 Introduction and Implementing Convolutional Neural Networks 1, 2, 3 Lab Manual No. 8 Experiments
9 Introduction and Implementing Generative Adversarial Networks 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   Â