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https://github.com/kasraskari/usa-weather

Clustering USA Weather Stations
https://github.com/kasraskari/usa-weather

dbscan dbscan-clustering jupyter-notebook machine-learning python

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Clustering USA Weather Stations

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README

          

# USA-Weather

A project designed to analyze and visualize weather data from the United States. This repository can help identify trends, patterns, and insights in weather data for various applications such as forecasting, climate studies, and more.

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## Features

- **Weather Data Processing:** Tools to clean and preprocess raw weather data.
- **Visualization:** Generate graphs and plots for weather trends.
- **Analysis:** Implement statistical methods to study temperature, precipitation, and other weather factors.
- **Scalability:** Designed for use with large datasets.

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## Project Structure

```
USA-Weather/
├── data/ # Folder for storing raw and processed datasets
├── notebooks/ # Jupyter Notebooks for analysis and visualization
├── scripts/ # Python scripts for data processing and analysis
├── README.md # Documentation
├── requirements.txt # Required Python packages
└── LICENSE # License information
```

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## Technologies Used

- **Python:** Core programming language for the project.
- **Pandas:** Data manipulation and preprocessing.
- **Matplotlib/Seaborn:** Visualization of trends and patterns.
- **NumPy:** Numerical computations.
- **Jupyter Notebook:** For exploratory data analysis (EDA).

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## Acknowledgment

The dataset used in this project is sourced from Kaggle:
[U.S. Weather Dataset on Kaggle](https://www.kaggle.com/datasets/akashsdas/weather-stations-in-usa)

Special thanks to Kaggle and its contributors for providing high-quality datasets for public use.

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## License
This project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for more details.