Class Meetings
DATA 202 Fall 2023
Friday
- Q&A
- Quiz 2
- Exercise 5
- Please check in with me about your project
Monday
- Q&A
- Reading 6 updated (actually includes ch7)
- Midterm project reminders
- Slides: joining tables
- Last 20 minutes: working on Exercise 5
Friday
- Q&A
- When should quiz be?
- Exercise 6
- Work on project
7.1 (Mon): class
- Exercise 6 Debugging
- Work on project
7.2 (Wed): class
- Some slides on tidying and visualizing
- Work on project
8.3 (Fri): lab
- Quiz 3
- Project showcase
- Show your project to others in your row
- Give and receive suggestions
- Revise your project accordingly
9.1 (Mon): Intro to ML
Referenced in class:
9.2 (Wed): ML
- Classification vs regression
- Workflow
Referenced in class:
10.1 (Mon): Metrics and Trees
References:
10.2 (Wed): Trees
- Slides: Trees.
- Make-your-own-tree activity
11.1 (Mon): Random Forests and Linear Models
Referenced in class:
11.2 (Wed): Bayesian Networks
- Slides
- Homo Deus by Yuval Noah Harari - “dataism”
- practicing the present presence of God, rather than representations that we can control but that are limited by interfaces
11.3 (Fri): Exercise on Bayesian Networks
12.1 (Mon): Linear Regression and Classification
Things referenced:
12.2 (Wed): Classification and Cross-Validation
12.3 (Fri): Exercise 12
- Exercise
- No quiz today (sorry, didn’t get to prep it)
- Opportunity to discuss projects in class
14.1 (Mon): Unsupervised Learning
14.2 (Wed): Research Talks
14.3 (Fri): Databases and SQL
15.1 (Mon): Explaining Predictions
15.2 (Wed): Missing Data, Ethics and Social Impacts, Wrap-Up