CSC 478
Spring 2018

 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.

Monday, April 2
Assignment 1
Example Notebooks
- Populations (Numpy Only)
- Populations with Pandas
- Video Store with Pandas



Thursday, April 12
Assignment 2 Examples Notebooks
- KNN Search Example 2
- Video Store (KNN Classifier)
- Video Store (Missing Values)
- Term-Doc Matrix and TF*IDF
- Video Store (Scikit-learn)



Saturday, April 28
Project Proposal




Saturday, May 5
Assignment 3 Example Notebooks
- Regression Analysis using
  Scikit-learn

- Feature / Model Selection
  Strategies

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


Saturday, May 12

Wednesday, May 16
Assignment 4 Example Notebooks
- Document Clustering, PCA, SVD



Saturday, May 26
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. Monday, June 4


Assignment Submission:
All assignments must be submitted electronically, on the D2L Web site for the course. Multiple assignment files must be compressed into a single Zip archive file before submission. Be sure to include your name in each assignment.





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