DSC 478
Fall 2021

 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 15
Assignment 1
Example Notebooks
- Populations with Pandas
- Video Store with Pandas

- Video Store (Missing Values)


Sunday, September 26
Assignment 2 Examples Notebooks
- Video Store (KNN Classifier)
- TF*IDF and Document
   Categorization

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

Sunday, October 10
Wednesday, October 13
Project Proposal



Sunday, October 17
Assignment 3 Example Notebooks
- Regression Analysis using
  Scikit-learn
- Feature / Model Selection
  Strategies

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


Sunday, October 30
Assignment 4 Example Notebooks




TBD
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. Sunday, November 21


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





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