DSC 478
Spring 2020

 Syllabus

 Course Material 

 Assignments 

 Class Project 

 Online Resources 

 Home




Comments/Suggestions



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.

Sunday, April 5
Assignment 1
Example Notebooks
- Populations with Pandas
- Video Store with Pandas


Sunday, April 19
Assignment 2 Examples Notebooks
- Video Store (KNN Classifier)
- TF*IDF and Document
   Categorization

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

Sunday, May 3
Project Proposal



Sunday, May 10
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
Thursday, May 21
Assignment 4 Example Notebooks
- K-means Clustering
- Document Clustering, PCA, SVD
- Item-Based Rec Test
- Joking with Matrix Factorization


Sunday, May 31
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. Tuesday, June 9


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





Copyright ©, Bamshad Mobasher, DePaul University.