DSCI 100 Quiz 3 Cram Pack

Hi there! These are my notes from when I took the course DSCI 100 at the University of British Columbia in WT2 2022. This particular document has 4 pages. Below is a list of the topics covered:

• Linear Regression
• Nearest Neighbours Regression
• RSME vs. RMSPE
• Clustering, K-Means Algorithm
• Inference
• Bootstrapping

something to note: In this offering of the course, quizzes in DSCI 100 were open book so I had access to these reviewers as I took the assessment.

Here’s a quick legend for what I’ve named my products:

• Cram Pack: contains the notes I take from the professor’s slides, class tutorials, and some available readings. summarized and broken down to include the most relevant examples and definitions. helps me avoid scrolling through 100+ lecture slides just to find the one concept or definition i’m looking for.
• Study Sheet: a 1-2 page document that further condenses the notes from the cram pack^ that I make for that course. typically contains important formulas and definitions that I would have trouble memorizing. great for last minute reviews before an exam!

disclaimer: With these products, I adapt the content from course resources (prof’s slides, textbook readings, etc.) and place it into my own formatted notes — I do not own the content! These are just the notes that I took down from when I took the course previously and I want to be able to share them with you to aid with your assignments & exams!

good luck & godspeed ⚡