scssandanayake / weather-analyzer-and-predictor

This repository was created for statistics for data science coursework.

Stats For Data Science Coursework

This repository was created for statistics for data science coursework.

Weather Forecaster

Rainfall and Temperature predictor application.

Streamlit Application ( Weather Dashboard )

1. Application link -> https://weather-predictor-sl-ca483e1bb0cf.herokuapp.com/

Application Reporsitory Link

1. Main Repo link -> https://github.com/AVDiv/weather-predictor-dashboard

Instructions To Use The Dashboard

1. Rainfall Tab

• Select the date to view weather records.
• Past Weather stats are available from 2020/01/02 to 2023/06/17 for 30 cities.
• Predictions stats are available from 2023/06/18 to 2023/08/07.

2. Insights Tab

• Select the start date and end date.
• Select the city / cities that you need.
• View the seasonal forecast graphs for rainfall and temperature.

Instruction to view and run the Jupyter Notebook

Rainfall Prediction Application

This repository contains Jupyter Notebook files for a rainfall prediction app. The app uses time series analysis and SARIMA/SARIMAX models to predict future rainfall.

Requirements

To run the Jupyter Notebook files, you need to have the following dependencies installed:

matplotlib==3.8.2
matplotlib-inline==0.1.6
numpy==1.26.3
pandas==2.2.0
scikit-learn==1.4.1.post1
scipy==1.12.0
seaborn==0.13.2
statsmodels==0.12.2

Installation Instructions

1. Clone this repository to your local machine.
2. Install the required dependencies using the following command: pip install -r requirements.txt
   (I have uploded the requirement.txt file already therefore you don't need to manully install each just run this code).

And now you will be able to successfully run the code.