IFN645 Tutorials Notes

Python tutorial notes 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. prac1)

1. prac1.ipynb = Tutorial notes in Python Jupyter notebook format.
2. prac1_exercise = Exercise questions designed to strengthen concepts related to the practical. Optional, but highly recommended.

Related resources:

1. https://github.com/liehendi11/IFN645_answers = Answers to weekly exercise questions.

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.