Policies

Unless otherwise noted, all assignments are due at 9:00 pm Seattle time. If you have trouble submitting an assignment and the deadline is approaching, you should email all the files to Hunter BEFORE the deadline so we have your submission on record. Submissions after the late cutoff may not be accepted even if there were technical difficulties turning in the assignment if you did not email us your solution before the cutoff.

Assignments may be worth different points, but they will all be weighted equally when assigning final grades.

Please make sure you’re aware of the following policies:

Homeworks

Will be posted below as they are released.

HW10 - Final Exam (2 points)

Due Thursday 06/10 at 8:30 am.

Specification

HW9 - Deep Learning with PyTorch (50 points)

Due Tuesday 06/01 at 9:00 pm.

Specification

HW8 - Tweet Topic Modelling (25 points)

Due Tuesday 05/25 at 9:00 pm.

Specification

HW7 - k-means with Text Data (22 points)

Due Tuesday 05/18 at 9:00 pm.

Specification

HW6 - ML Practice on Kaggle (77 points)

Due Tuesday 05/11 at 9:00 pm.

Specification

HW5 - Loan Safety with Decision Trees (25 points)

Due Tuesday 05/04 at 9:00 pm.

Specification

HW4 - Bias and Fairness in ML (14 points)

Due Tuesday 04/27 at 9:00 pm.

Specification

HW3 - Sentiment Analysis with Logistic Regression (25 points)

Due Tuesday 04/20 at 9:00 pm.

Specification

HW2 - Ridge and LASSO (27 points)

Due Tuesday 04/13 at 9:00 pm.

Specification

HW1 - House Prices (34 points)

Due Tuesday 04/06 at 9:00 pm.

Specification

HW0 - Review, Python, & Course Tools (0 points)

Due Friday 04/02 at 9:00 pm.

Note: For this assignment only, we show the correct answers for the submission assignments so you can verify you can use the tools correctly. This will not be true for future assignments. Please make sure you ask questions early! This assignment is not worth any points, but is expected you complete it before HW1 so that you are familiar with the tools we will use in this course.

Specification