CS 6907 Lab 3
Due Sunday, 09/17/2022, by midnight (23:59, EST)
Announcements
-
Class participation, EdSTEM and Google Folder.
Goals
The goals for this lab assignment are:
-
Understand Classification
-
Understand Regression
-
Get familiar with the Iris dataset
-
Get familiar with the Final Paper format
1. Supervised Learning (Three Hours)
-
Locate the Iris dataset examples in 1. Supervised learning
-
Compare and Summarize the different Iris examples
-
Write down you findings in the final paper AAAI format.
2. Final Paper Format (Two Hours)
-
Read the guide from AAAI 2023
-
Link sharing, each team work on the same paper copy
3. Find a teammate (One Hour)
-
Find your teammate for the labs, midterm and the final project
-
Write a summary and reasons to select
-
Work together on this lab, all the following labs, mid term and final project
4. Submission Guide
-
Each student team only submits one file, lab_3_lastname1_lastname2.zip, including
-
lab_3_lastname1_lastname2.pdf in AAAI format
-
Select your favorite three Supervised Learning code examples using Iris dataset, and explain why in your PDF
-
-
Start a shared Github project for your team, add your teammate and the instructor
5. Notes
-
Email 'x.qu@gwu.edu' your zip file for lab 3.
-
Lab assignments will typically be released on Tuesday and will be due by midnight on Sunday.