/IFN645_answers

Answers for IFN645 programming exercises

Primary LanguageJupyter Notebook

IFN645 Exercise Answers

Answer for Python exercises for QUT's IFN645 - Data and Web Analytics. Any suggestions/comments, please email to h2.lie@qut.edu.au.

Folders

  1. datasets/ = All datasets used in this unit. Mostly in .csv format.
  2. resources/ = Pictures, diagrams and other resources used to illustrate data mining concepts.

Content structure (e.g. prac01)

  1. prac01_exercise_answers.ipynb = Answer to exercise questions for that practical in Python Jupyter notebook format.

Related resources:

  1. https://github.com/liehendi11/IFN645 = Main unit repo

Important: The content of this repository can be updated anytime. Any update after respective practical is conducted will be informed through emails, but otherwise I will only inform you through commit history. Please ensure you pull the latest version from the repository before each practical.

Written by Hendi Lie (h2.lie@qut.edu.au) and Richi Nayak (r.nayak@qut.edu.au). All rights reserved. Further reproduction prohibited without permission.