USA-Rainfall-Prediction-Dataset-2024-2025-

USA Rainfall Prediction Dataset (2024-2025) Here’s a sample README file for your repository, "USA Rainfall Prediction Dataset (2024-2025)":

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USA Rainfall Prediction Dataset (2024-2025)

Welcome to the USA Rainfall Prediction Dataset (2024-2025) repository! This dataset is designed for weather forecasting, machine learning models, and data analysis, focusing on rainfall prediction across various regions of the United States.

Table of Contents

• Overview
• Dataset Description
• Data Sources
• Usage
• Installation
• Contributing
• License
• Contact

Overview

This repository contains a dataset specifically curated for rainfall prediction in the USA from 2024 to 2025. It includes various meteorological parameters such as temperature, humidity, wind speed, and precipitation levels.

This dataset is intended to help data scientists, researchers, and meteorologists build predictive models to anticipate rainfall patterns in real-time.

Dataset Description

The USA Rainfall Prediction Dataset (2024-2025) includes:

• Timeframe: January 2024 to December 2025
• Geographical Scope: All 50 U.S. states
• Attributes:
  • Date and time
  • Geographical coordinates (latitude, longitude)
  • Precipitation (in mm)
  • Temperature (°C)
  • Humidity (%)
  • Wind speed (m/s)
  • Barometric pressure (hPa)

The dataset is available in CSV format and can be easily loaded into Python, R, or other data analysis platforms.

Data Sources

The dataset aggregates data from multiple publicly available sources including:

• National Oceanic and Atmospheric Administration (NOAA)
• NASA's Global Precipitation Measurement (GPM) Mission
• Local weather stations and meteorological services

Usage

1. Download the dataset: You can download the dataset from the data/ directory.
2. Explore the data: Use Python (Pandas), R, or any other tools for data analysis.
3. Build predictive models: This dataset is ideal for machine learning models such as regression, decision trees, and neural networks for rainfall prediction.

Sample code to load the dataset using Python:

import pandas as pd

# Load the dataset
data = pd.read_csv('path_to_dataset.csv')

# Display the first few rows
data.head()

Installation

To use the dataset, simply clone the repository and start working:

git clone https://github.com/yourusername/usa-rainfall-prediction-dataset.git

Contributing

We welcome contributions to improve the dataset or add new features. Please feel free to submit a pull request or open an issue if you have suggestions or encounter any problems.

1. Fork the repository
2. Create a new branch (git checkout -b feature-branch)
3. Commit your changes (git commit -m 'Add some feature')
4. Push to the branch (git push origin feature-branch)
5. Create a new pull request

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or suggestions, feel free to contact:

• Your Name
• Email: mdasifikbal727@gmail.com

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