This repository contains all the Data Mining lab assignments completed during my undergraduate elective course in the 7th semester, in 2024. These assignments were submitted to our teacher, Pukar Karki.
The purpose of this repository is to document and showcase the practical work done in the field of Data Mining. It includes various lab exercises, projects, and assignments that were part of the curriculum.
- ✅ for Completed
- 🔄 for In Progress
- ❌ for Not Started
| Lab Number | Description | Status |
|---|---|---|
| Lab 1 | Load, Visualize, PreProcess and Build and evaluate a classification model to predict the presence of heart disease. | ✅ Completed |
| Lab 2 | Load, Visualize, PreProcess and Build and evaluate a classification model to predict the quality of wine. | ✅ Completed |
| Lab 3 | FP Growth and Association Algorithms of Online Retail | ✅ Completed |
| Lab 4 | Clustering Techniques | 🔄 In Progress |
Each lab folder contains the following:
- A detailed lab report explaining the objectives, methodology, results, and conclusions.
- Source code for all the exercises and projects.
- Data sets used in the lab exercises, where applicable.
- Any additional resources or references used.
- Python
- Special thanks to Our Teacher Pukar Karki for guiding and mentoring throughout the course.
- My classmates for their support and collaboration.
- Anyone who contributed to the development and improvement of the lab exercises.