Class Documents

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Documents from class will be posted on this page.

Lecture 1: Introduction - Jan 9

Lecture 2: EDA - Jan 16

• EDA Example: Download the drugsComTest_raw.csv file from Kaggle and make a copy of the colab in your own drive to run the code.

  • EDA Colab

  • Prescription Review Data from Kaggle

Lecture 3: Modeling - Jan 23

• Slides

• Guest Lecture Recording (Password: #22Jxn$B&a)

Lecture 4: Linear Regression - Jan 30

Lecture 5: Communication - Feb 6

Lecture 6: Simulation - Feb 13

Lecture 7: Classification - Feb 27

Lecture 8: More Classification - Mar 6

Lecture 9: Predictive Performance - Mar 13

Lecture 10: Clustering - Mar 20

Lecture 11: DS Workflow - Mar 27

Lecture 12: A4 Presentations - Apr 2