DSC 478
Fall 2020

 Syllabus

 Course Material 

 Assignments 

 Class Project 

 Online Resources 

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Assignments

All assignments for the class will be available in electronic form from this page. Unless otherwise specified, the assignments must be done individually (you are welcome to discuss the problems with others in the class, but you must submit your own work). Unless otherwise specified, assignments are due by 11:59 PM on the due date provided below.


Assignment Resources Due Date
Assignment 0 Post an Introductory Message on the Getting Acquainted Board on the D2L Page for the Course.

Wednesday, September 16
Assignment 1
Example Notebooks
- Populations with Pandas
- Video Store with Pandas


Sunday, September 27
Assignment 2 Examples Notebooks
- Video Store (KNN Classifier)
- TF*IDF and Document
   Categorization

- Video Store (Scikit-learn)
- Video Store - Scikit-learn
   (Part 2)

Tuesday, October 13
Project Proposal



Friday, October 16
Assignment 3 Example Notebooks
- Regression Analysis using
  Scikit-learn

- Feature / Model Selection
  Strategies

- K-means Clustering
- Document Clustering, PCA, SVD

Video: Additional Notes on Assignment 3 (30 mins)
- PPT slides for the video
Friday, October 30
Assignment 4 Example Notebooks
- K-means Clustering
- Document Clustering, PCA, SVD
- Item-Based Rec Test
- Joking with Matrix Factorization

Friday. November 13
Final Project Final Project Check List - This document includes a description of the evaluation criteria and deliverables for each type of project. Please review this checklist carefully before the final submission. Friday, November 20


Assignment Submission:
All assignments must be submitted electronically, on the D2L Web site for the course.





Copyright ©, Bamshad Mobasher, DePaul University.