Astronomical Events and Space Missions Analysis 🚀

Cosmo Detect is a data analysis project that allows you to delve into the captivating world of space science, astronomy, and celestial events. Dive into the universe's mysteries by analyzing data related to meteorite landings, space missions, fireball reports, and more.

• Installation 🛠️
• Usage 🚀
• Data Sources 📊
• Technologies Used 💻
• Project Goals 🎯
• Contributing 🤝
• License 📜

To embark on your space exploration journey with Cosmo Detect, follow these steps:

1. Clone this repository to your local machine:

• git clone https://github.com/ThecoderPinar/CosmoDetect.git

2. Navigate to the project directory:

• cd CosmoDetect

3. Install the required Python packages:

• pip install -r requirements.txt

1. Launch Jupyter Notebook or JupyterLab.
2. Open the cosmodetect.ipynb notebook to interact with the project.
3. Execute code cells to perform data analysis, visualization, and exploration.

Cosmo Detect harnesses the power of various datasets to fuel its analysis, including:

• Meteorite landings
• Space missions
• Fireball reports
• And more

For a deeper dive, explore the DATAS/ directory containing the wealth of data files.

Cosmo Detect utilizes the following technologies:

• Python
• Jupyter Notebook
• Pandas
• Matplotlib
• Seaborn

The main goals of Cosmo Detect are:

• To provide insights into space-related phenomena and events
• To explore and visualize space data for educational and informative purposes

Ready to contribute to Cosmo Detect's mission? We welcome your enhancements, ideas, and bug fixes. Feel free to open an issue or submit a pull request.