angelamarpaung99 / clustering-classification

Clustering and Classification of airbnb data for final task of Machine Learning.

Table of Contents

• About the Project
  • Dataset
  • Built With
• Getting Started
  • Prerequisites
  • Installation
• Contributing
• Contact

About The Project

Analysis and prediction of airbnb data. Final output is clustered data and classification of data. There are two models built for this dataset.

Dataset

Dataset is airbnb listing data found from kaggle. Dataset contains 16 columns and 22522 rows.

Built With

• Python

Getting Started

You can get dataset from file "air_bnb.csv". You can run either the python notebook file "Model1.ipynb" or "Model2.ipynb"

Prerequisites

You can run the python notebook file "Model1.ipynb" or "Model2.ipynb" locally on Jupyter Notebook or Google Colaboratory.

Installation

1. Clone the repo

git clone https://github.com/angelamarpaung99/clustering-classification.git

2. Enter your own location path of dataset in Model1.ipynb or Model2.ipynb in this line of code

df = pd.read_csv(<FILE PATH LOCATION>, sep=',') 

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b <add-your-new-branch-name>)
3. Commit your Changes (git commit -m 'commit message')
4. Push to the Branch (git push origin <add-your-branch-name>)
5. Open a Pull Request

Contact

Angela Marpaung - [e-mail]

Project Link: https://github.com/angelamarpaung99/clustering-classification.git