KTU_S5_DA_LAB

Overview

This repository contains the lab work for the Data Analytics course in the fifth semester at KTU. The experiments cover various data analytics techniques and algorithms, implemented in Python.

Setup and Usage

Prerequisites

• Python 3.x
• Required Python libraries: numpy, pandas, scipy, mlxtend

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/KTU_S5_DA_LAB.git
   cd KTU_S5_DA_LAB

2. Install the required libraries:

   pip install numpy pandas scipy mlxtend

Running the Experiments

Each experiment is contained in its own Python file. You can run each experiment using the following command:

python <experiment_file.py>

For example, to run the Apriori algorithm:

python EXP7_Apriori.py

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.