Data Mining

Welcome to the Data Mining Course repository! This repository contains 4 different projects completed during my undergraduate Data Mining course. The projects cover various topics, including programming assignments and theoretical concepts.

Table of Contents

1. Projects Overview
   • 1. Data Preprocessing
   • 2. Classification
   • 3. Clustering and Association Rules
   • 4. Disease Prediction - Final Project
2. Course Information
3. Contact

Projects Overview

All projects are accompanied by their respective codes, necessary datasets (if required), and comprehensive documentation, which includes instructions and reports (in Persian).

1. Data Preprocessing

Utilized pandas and Scikit-learn for data preprocessing. Employed the Iris dataset.

2. Classification

Designed and trained a neural network to classify two datasets: Make circles and Fashion MNIST.

3. Clustering and Association Rules

Comprised two distinct projects, one focusing on Association Rules and the other on clustering techniques.

4. Disease Prediction - Final Project

Developed a model to predict the presence of a specific disease in individuals using a dataset of over 70,000 records. Utilized XGBoost, a decision tree algorithm, for this task.

Course Information

• Course: Data Mining
• University: Amirkabir University of Technology (Tehran Polytechnic)
• Semester: Spring 2022

Contact

Amirmehdi Zarrinnezhad - amzarrinnezhad@gmail.com

Project Link: https://github.com/zamirmehdi/Bioinformatics-Course

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