This repository is a template for creating data science projects. It provides a basic structure for organizing your project files and directories. The template includes directories for storing raw and processed data, Jupyter Notebooks for data exploration and machine learning, and Python scripts for data collection and processing.
├── README.md <- Overview of the project and setup instructions.
├── data/ <- Raw and processed data files (CSV, JSON, etc.).
│ ├── raw/ <- Raw data from scraping or other sources.
│ └── processed/ <- Cleaned and preprocessed data ready for analysis.
│
├── notebooks/ <- Jupyter Notebooks for data exploration and ML.
│ ├── exploration/ <- EDA (Exploratory Data Analysis) notebooks.
│ ├── visualization/ <- Notebooks focused on visualizing card trends.
│ └── machine_learning/ <- ML models and experiments.
│
├── scripts/ <- Python scripts for data collection and processing.
│ ├── clean_data.py <- Preprocess raw data into clean datasets.
│ └── utils/ <- Helper utilities.
│
├── requirements.txt <- List of Python dependencies.
└── LICENSE <- MIT or Apache 2.0 license.
This project maintains a changelog to document all notable changes. Please refer to it for detailed information on updates and modifications.
Contributions are welcome and encouraged! To get started, please read the contributing guidelines to learn how you can contribute to this project.
If you would like to support this project or me, you can do so in the following ways:
If you find a bug or have a feature request, please open an issue on the GitHub Issues page. Provide as much detail as possible to help us understand and resolve the issue quickly.
If you would like to contribute to the project, please read the contributing guidelines to learn how you can help. We appreciate all contributions, whether they are big or small.
If you find this project useful, please consider starring the repository on GitHub. Starring a repository helps increase its visibility and lets others know that the project is valuable. It also provides motivation and support to the maintainers to continue improving the project.
This project is licensed under the MIT License. See the LICENSE file for details.