https://github.com/keanteng/wqd7005

Self-Study Working Files For WQD7005 Data Mining
https://github.com/keanteng/wqd7005

data-mining data-science gemini gemma genai generative-ai jupyter-notebook openrouter python self-learning

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Self-Study Working Files For WQD7005 Data Mining

• Host: GitHub
• URL: https://github.com/keanteng/wqd7005
• Owner: keanteng
• Created: 2025-03-27T11:12:44.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-06-19T02:46:10.000Z (about 1 year ago)
• Last Synced: 2025-06-19T03:33:22.269Z (about 1 year ago)
• Topics: data-mining, data-science, gemini, gemma, genai, generative-ai, jupyter-notebook, openrouter, python, self-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 320 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# WQD 7005 Lab Files

![](https://img.shields.io/badge/Google%20Gemini-8E75B2?style=for-the-badge&logo=googlegemini&logoColor=white)

![](https://img.shields.io/badge/Python-FFD43B?style=for-the-badge&logo=python&logoColor=blue)

![](https://img.shields.io/badge/Jupyter-F37626.svg?&style=for-the-badge&logo=Jupyter&logoColor=white)

![](https://img.shields.io/badge/LaTeX-47A141?style=for-the-badge&logo=LaTeX&logoColor=white)

This repository contains coding files use for the course WQD 7005.

The file is used alongside my coursework for the purpose of practice and learning. Most of the files used in the course have been reworked to fit the current progress in the field of Generative AI. As more and more advanced models are being released, with small language model achieving state-of-the-art results, API access have been accessed to complete the lab tasks.

Happy coding ⚡

## Directory Structure

```bash

# run this `cmd //c tree //a > tree.txt`

+---bin

+---data

+---extra

+---lab

+---lectures

+---notes

+---public

\---tutorial

    \---tutorial_6

```

> Tutorial 6 contains exploration codes to complete tutorial using Latex.

### Using This Repository

To view this repo:

```git

git clone https://github.com/keanteng/wqd7005

```

Install the required packages:

```bash

pip install -r requirements.txt

```