7CS074 - Data Mining and Informatics

Welcome to 7CS074 - Data Mining and Informatics! In this module, you will learn methods and techniques to develop and implement data mining and informatics solutions to a given problem or a dataset

Getting Started

If you're new to this module, start here! We recommend that you go through each module in order, following the weekly schedule.

Module Materials

The module materials include:

• Reading assignments to help you understand the concepts and theories.
• Lectures or presentations to guide you through the main ideas and topics.
• Images to illustrate the concepts and make them easier to understand.
• Watching videos to show you how to use machine learning tools and techniques.
• Writing assignments to help you practice what you've learned.
• Discussion forums to ask questions, share ideas, and collaborate with your peers.
• Quizzes and tests to assess your understanding of the material.

All activities will be submitted digitally. Your primary modes of communication will be email, announcements, and discussion forums.

File Structure

Here's the file structure for this module:

├── Week 1
│   ├── Workshop 2.ipynb
│   └── Data.csv
├── Week 2
│   ├── Workshop 2.ipynb
│   └── Data.csv
├── Week 3
│   ├── Workshop 3.ipynb
│   └── Data.csv
└── README.md

How to Use

To get started, clone this repository to your local machine:

git clone https://github.com/Rawlsy-py/7CS074_Data_Mining

Then, navigate to the directory and start working on the files:

cd 7CS074_Data_Mining
jupyter notebook

You can learn from my mistakes, please do not copy the code exactly and instead learn and develop from my experience.

If you want to learn more, reach out to me via the details on my profile page.