This repository contains an implementation of Perceptron Algorithm using Python.

Overview

In this repository, we demonstrate how to perform perceptron algorithm using Python. We utilize libraries such as NumPy and pandas to implement the model. Additionally, we provide a simple example along with explanations to help you understand how to apply perceptron algorithm to your own datasets.

Requirements

To run the code in the Jupyter Notebook, you need to have Python installed on your system along with the following libraries:

• NumPy
• pandas

You can install these libraries using pip:

pip install numpy pandas  

Usage

1. Clone this repository to your local machine:

git clone https://github.com/BaraSedih11/Perceptron-Algorithm.git

2. Navigate to the repository directory:

cd PerceptronAlgorithm

3. Open and run the Jupyter Notebook PerceptronAlgorithm.ipynb using Jupyter Notebook or JupyterLab.

4. Follow along with the code and comments in the notebook to understand how perceptron algorithm is implemented using Python.

Acknowledgements

• NumPy: The NumPy library for numerical computing in Python.
• pandas: The pandas library for data manipulation and analysis in Python.