DSC 478
Fall 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.
|
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.
|
