https://github.com/udacity-machinelearning-internship/perceptron-algorithm

Implementing perceptron alogorithm in python using Numpy and Pandas
https://github.com/udacity-machinelearning-internship/perceptron-algorithm

machine-learning perceptron perceptron-learning-algorithm

Last synced: 3 months ago
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Implementing perceptron alogorithm in python using Numpy and Pandas

• Host: GitHub
• URL: https://github.com/udacity-machinelearning-internship/perceptron-algorithm
• Owner: Udacity-MachineLearning-Internship
• Created: 2024-05-15T06:18:38.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-17T03:37:08.000Z (about 1 year ago)
• Last Synced: 2025-01-21T08:24:10.217Z (5 months ago)
• Topics: machine-learning, perceptron, perceptron-learning-algorithm
• Language: Jupyter Notebook
• Homepage:
• Size: 10.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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![Perceptron_Algorithm](https://github.com/BaraSedih11/Perceptron-Algorithm/assets/98843912/4a7542a9-fdbf-4171-94fc-679f0c7f2885)

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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:

```bash

pip install numpy pandas  

```

## Usage

1. Clone this repository to your local machine:

```bash

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

```

2. Navigate to the repository directory:

```bash

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](https://numpy.org/): The NumPy library for numerical computing in Python.

- [pandas](https://pandas.pydata.org/): The pandas library for data manipulation and analysis in Python.