Week 6 (September 30 – October 6)

Tuesday, October 1 (1:15 P.M. – 3:15 P.M., LISB 131) Class Session 6
Topics	Data Preprocessing Using Cloud Computing
In-Class Activities	Review solutions to prior assignments from prior week. Demo: Data Preprocessing Breakout Activity: TBD
Required Readings	Raschka & Mirjalili – Chapter 4 (Building Good Training Datasets – Data Preprocessing)
Other Resources	Starter files for Data Pre-Processing Demo

Friday, October 4 (2:00 P.M. – 3:00 P.M., Zoom) Optional Session
Lab Session	On Friday afternoons from 2:00 PM till 3:00 PM, we will be holding an optional Lab Session using Zoom. Please drop by to ask a question, to discuss solutions to previous assignments, to get help with the current assignment, to discuss the final project, or just to say hello. Please use a headset while participating.

Sunday, October 6, @ 11:55 P.M. Weekly Assignments Deadline
Coding Assignments Due	Data Preprocessing Assignment Description: In this assignment, you will pre-process data using Python libraries. The workflow is going to be implemented and documented using a Jupyter Notebook. You will be running your notebook in an AWSALL SageMaker Notebook Instance. Later, you will be able to adopt this approach for use in your Final Project. PLEASE NOTE: The assignment instructions have been included in the Jupyter Notebook starter file for this assignment. Instructions for Data Pre-Processing Assignment Starter files for Data Pre-Processing Assignment Data Preprocessing Assignment Grading Rubric

Sunday, October 6, @ 11:55 P.M.
Weekly Assignments Deadline

Coding Assignments Due

Data Preprocessing Assignment
Description: In this assignment, you will pre-process data using Python libraries. The workflow is going to be implemented and documented using a Jupyter Notebook. You will be running your notebook in an AWSALL SageMaker Notebook Instance. Later, you will be able to adopt this approach for use in your Final Project. PLEASE NOTE: The assignment instructions have been included in the Jupyter Notebook starter file for this assignment.

Weekly Course Schedule – Fall 2024