Data Mining in Python

This repository contains three experiments, each focusing on a different type of data mining problem:

1. Association Rules
2. Classification
3. Cluster Analysis

The goal is to compare how various Python libraries handle these types of data mining tasks. The libraries used include scikit-learn, mlxtend, and PyCaret.

Setup

The experiments are implemented using Jupyter Notebook and require Python version 3.8.0.

Required packages:

• notebook
• scikit-learn
• mlxtend
• pycaret

Install these via pip:

pip3 install notebook scikit-learn mlxtend pycaret

Repository structure

/dataminator
├── experiments
│   ├── association-rules-experiment.ipynb
│   ├── classification-experiment.ipynb
│   └── cluster-analysis-experiment.ipynb
├── datasets
│   ├── Rice_Cammeo_Osmancik.xlsx
│   ├── bread-basket.csv
│   └── penguins_size.csv
└── README.md