Study guides, Class notes & Summaries

Georgia Tech WEEK 2 HOMEWORK – SAMPLE SOLUTIONS IMPORTANT NOTE. 100% pass rate. Document Content and Description Below WEEK 2 HOMEWORK – SAMPLE SOLUTIONS IMPORTANT NOTE These homework solutions show multiple approaches and some optional extensions for most of the questions in the assignment. You don’t need to s ubmit all this in your assignments; they’re included here just to help you learn more – because remember, the main goal of the homework assignments, and of the entire course, ...

Georgia Tech Homework 2 Question 3.1, 100% Graded A+ Document Content and Description Below Homework 2 Question 3.1 Using the same data set (credit_card_ or credit_card_) as in Question 2.2, use the ksvm or kknn function to find a good classifier: (a) using cross- validation (do this for the k-nearest-neighbors model; SVM is optional); and Using leave-one-out crossvalidation with different kernel for classification data <- ("credit_card_", header = TRUE, sep = "") # Splitting data for t...

13.1 - 13.2 Curves in Space & Vector Integrals

13.3 Arclength

13.4 Curvature

14.1 - 14.2 Multivariable Functions & Limits

14.3 - 14.4 Partial Derivatives & Chain Rule

14.7 - 14.8 Extreme Values & Lagrange Multipliers

15.1 - 15.3 Rectangular, Regional and Double Integrals

15.5 Triple Integral