Support Vector Machine

(ns index)

1 Support Vector Machines

1.0.1 Assignment Setup

  • Create a new repository on Gitlab.com. The repository MUST be named following the convention: CS[AAAA]_[XX][YYYY]_A[ZZ]_G[NN] where [AAAA] is replaced by the four digit course number (if this is a cross-listed 4000/5000 level course, use the 4000 level number), [XX] is replaced with the semester (FA, SP, or SU), [YYYY] is replaced with the four digit year, [ZZ] is replaced with the two digit assignment number, [NN] is replaced with the two digit group number, and [LASTNAME] is replaced with your last name. Assignments that are misnamed will be given 0 credit!
  • You may work in a group of 1 if you choose.
  • Add greenr@bgsu.edu and the TA (if there is one) to your project with Maintainer project access
  • Setup your project appropriately for this assignment:
  • A README.md file in the root of the project
  • A Jupyter notebook or main file that contains all of your work in a clear and understandable manner.
  • You may work by yourself or in a group of 2. if working in a group of 2, each student should perform the implementation and analysis of a single algorithm.

1.0.2 Instructions

  • In a Jupyter notebook using Python, complete exercise 9.5, 9.7, and 9.8 (Applied) from Introduction to Statistical Learning with Applications in Python.
  • Modify the “README.md” file to include responses as indicated by each question.
  • Make sure that your README file is formatted properly and is visually appealing. It should be free of grammatical errors, punctuation errors, capitalization issues, etc. Sentences should be complete
source: src/index.clj