Welcome to the Data Science Projects Repository! This project is created to encourage open-source contributions during Hacktoberfest 2024. Whether you’re an experienced data scientist or just starting out, you can contribute and learn through hands-on experience.
This repository contains various data science projects that cover a wide range of topics including:
- Data cleaning and preprocessing
- Data visualization
- Machine learning models
- Statistical analysis
- Exploratory data analysis (EDA)
Each project is designed to be modular, meaning you can contribute to specific areas or enhance existing ones.
We work with popular data science tools and libraries such as:
- Python: Our primary programming language for data manipulation and analysis.
- Pandas: For data wrangling and preprocessing.
- NumPy: For numerical computations.
- Matplotlib & Seaborn: For creating visualizations.
- Scikit-learn: For building machine learning models.
- Jupyter Notebooks: For interactive data exploration.
Feel free to introduce other tools and libraries if you think they’ll enhance the projects!
To set up this repository on your local machine, follow these steps:
- Clone the Repository:
git clone https://github.com/Mubashir-Ul-Hassan/data-science-projects.git
Contributions are welcome! To get started, check out our CONTRIBUTING.md file for guidelines on how to fork, submit pull requests, and more. Issues labeled with hacktoberfest are specifically looking for contributors.
We encourage contributions in the following areas:
Enhancing existing data science scripts Adding new data visualizations Optimizing machine learning models Documentation and tutorials
Please read our Code of Conduct to understand the community standards we follow to create a welcoming and inclusive environment.
For any questions or clarifications, feel free to reach out:
GitHub Issues: Open an issue if you find any bugs or need help. Email: [email protected]