DIU-BLC
Artificial Intelligence Lab (Summer 2021)
0%
Previous
Course data
Artificial Intelligence Lab - Python
Announcements
Announcements
Discussion on Algorithm selection
Reference Books - 1
Reference Book - 2
Reference Book - 3
Join Class Every Saturday at 8.30 am
Week 1
Basics of Python
Discussion on Week 1's Topic: Notebook Exercise Practicing
Submission of Basic Python based on Notebook 1 & 2 exercises
Week 2
Basic's of Python
Discuss on Lab 2: Notebook 1+2+3 and Exercises Practicing
Submission of Lab Task 2 on Notebook 3 Exercises
Week 3
Reading Material on NumPy
Dataset - Starbucks
Datasets - Titanic (Class)
Discussion on Week 3's Topic: Data Pre-Processing
Submission of Datasets link of your team project
Submission of data pre-processing link of your team project
Week 4
Download - Reading material data visualization
Download Dataset - 1 (Irish)
Download Dataset - 2 (Winemag)
Discussion on Week 4 Topic: Algorithm Practice
Week 5
Linear Regression
Logistic Regression
Dataset for Logistic Regression
Dataset for Linear Regression
Discussion on 5th Week's Topic: Confusion Matrix, Accuracy
Lab Performance Evaluation Task (based on given dataset in the link)
Week 6
Week 8
Week 9
Week 10
Week 11
Week 12
Project group list
Submission of Project (Colab)
Week 14
Lab Final Individual questions
Submission of Lab Final Exam
Next
DIU-BLC
Side panel
Guidelines
For Teachers
For Students
Search
Close
Search
Toggle search input
Log in
Username
Password
Remember username
Forgot Password?
Log in
Create new account
Site Navigation
CSE 413 (ZZ - 212)
Home
Calendar
Skip to main content
To operate the Blended Learning Center(BLC) at optimal level, maintenance will be performed every day at 8:30 AM and at 5:00 PM regularly which can take up to 30 minutes. Please consider scheduling your activity in the BLC platform accordingly.
Course info
Home
Courses
DIU
Faculty of Science and Information Technology
Computer Science and Engineering
CSE Summer 2021
CSE 413 (ZZ - 212)
Summary
Artificial Intelligence Lab (Summer 2021)
Teacher:
Md. Sadekur Rahman
Teacher:
Zahura Zaman
Skill Level
:
Beginner