This project focuses on association rule mining from transaction data. It provides functionalities to find frequent itemsets, generate association rules, and analyze the data based on minimum support and minimum confidence thresholds.

• Python (3.6+)
• pandas library

Follow these steps to use the project:

1. Clone the repository to your local machine:

git clone https://github.com/svgvr8/data-mining

2. Navigate to the project directory:

cd data-mining

3. Run the project by executing the following command:

python code_1.py 50 2 small test_output

Context:

• '50' is the support count.
• '2' is the confidence.