Weekly Course Schedule – Fall 2024

IS597 - MLC - Machine Learning Pipelines Using Cloud-Based Platforms

Meets Tuesday Afternoons

Week 10 (October 28 – November 3)

Tuesday, October 29 (1:15 P.M. – 3:15 P.M., LISB 131) Class Session 10
Topics	Dimensionality Reduction Model Tuning
In-Class Activities	Review solutions to prior assignments from prior week. Breakout Activity: TBA
Required Readings	Géron – Chapter 8 (Dimensionality Reduction) Raschka & Mirjalili – Chapter 5 (Compressing Data via Dimensionality Reduction) Raschka & Mirjalili – Chapter 6 (Learning Best Practices for Model Evaluation and Hyperparameter Tuning) Raschka & Mirjalili – Chapter 7 (Combining Different Models for Ensemble Learning)
Required Recordings	Lecture Video: Dimensionality Reduction Tutorial Video: Dimensionality Reduction Code Example Lecture Video: Model Tuning Tutorial Video: Model Tuning Code Example
Other Resources	Slides for Dimensionality Reduction and Model Tuning Lectures Jupyter Notebook from Dimensionality Reduction Code Example Tutorial Video Notebook and data for Model Tuning Code Example Tutorial Video

Friday, November 1 (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, November 3, @ 11:55 P.M.
Weekly Assignments Deadline

Coding Assignments Due

Dimensionality Reduction & Model Tuning Assignment
Description: In this assignment, you will implement dimensionality reduction and tune your models. In this assignment, you will be expected to create 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.