Weather Prediction

This project is about predicting weather using machine learning techniques.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Python 3.6 or above
• Flask 1.0.2
• pandas 0.23.4
• numpy 1.15.4
• scikit-learn 0.20.1
• matplotlib 3.0.2
• pmdarima 1.2.1
• statsmodels 0.9.0

Installing

Clone the repository to your local machine

$ git clone https://github.com/username/Weather-Prediction.git

Navigate to the project directory

$ cd Weather-Prediction

Install the required libraries

$ pip install -r requirements.txt

Usage

Run the app.py file

$ python app.py

Then, go to http://localhost:5000 in your web browser to access the web application.

Built With

• Flask - The web framework used
• pandas - Data manipulation library
• scikit-learn - Machine learning library
• matplotlib - Data visualization library
• pmdarima - Library for finding p, q, d
• statsmodels - Time series analysis library

Authors

• Pranay Kiran - Initial BringUP - kiranpranay

License

This project is licensed under the MIT License - see the LICENSE.md file for details.