DSC 478
Fall 2022
Syllabus
Course Material
Assignments
Class Project
Online Resources
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Comments/Suggestions
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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.
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Assignment |
Resources |
Due Date |
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Assignment 0 |
Post an Introductory Message on the
Getting Acquainted Board on the D2L Page for the Course.
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Monday,
September 12 |
Assignment 1
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Example Notebooks
-
Populations with Pandas
- Video
Store with Pandas
-
Video Store (Missing Values)
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Sunday,
September 25 |
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Assignment 2 |
Examples Notebooks
- Video
Store (KNN Classifier)
-
TF*IDF
and Document
Categorization
-
Video Store
(Scikit-learn)
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Video Store
- Scikit-learn
(Part
2)
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Sunday,
October 09 |
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Project Proposal |
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Sunday,
October 16
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Assignment 3 |
Example Notebooks
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Regression
Analysis using Scikit-learn
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Feature / Model Selection
Strategies
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K-means Clustering
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Document Clustering, PCA,
SVD
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Sunday,
October 23
Thursday,
October 27 |
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Assignment 4 |
Example Notebooks
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K-means Clustering
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Document Clustering, PCA,
SVD
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Item-Based Rec Test
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Joking with Matrix Factorization
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Sunday,
November 6 |
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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. |
Wednesday,
November 16 |
Assignment Submission: All assignments must be submitted
electronically on the D2L Web site for the course.
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