datascience

Welcome to the datascience repository!
This repository contains Jupyter Notebooks and Python scripts related to data science workflows, analytics, and projects.

🧑‍💻 Repository Structure

• Jupyter Notebook (.ipynb):
  The core of this repo. All major data analysis, experiments, and results are documented and executed in Jupyter Notebooks.
• Python Scripts (.py):
  Utility scripts and supporting code for data processing, cleaning, and visualization.

🚀 Features

• End-to-end data science workflows
• Data cleaning, transformation, and visualization
• Exploratory Data Analysis (EDA)
• Machine Learning models and experiments
• Well-documented code and results in Jupyter Notebooks

📁 Getting Started

1. Clone the Repository:

   git clone https://github.com/Shah-123/datascience.git
   cd datascience

2. Set Up Environment:

   • (Recommended) Use virtualenv or conda to manage dependencies.
   • Install dependencies

     pip install -r requirements.txt

3. Launch Jupyter Notebook:

   jupyter notebook

📝 Contributing

Contributions are welcome! If you'd like to add new notebooks, scripts, or improve documentation:

1. Fork the repo
2. Create your feature branch (git checkout -b feature/your-feature)
3. Commit your changes
4. Push to the branch (git push origin feature/your-feature)
5. Open a pull request

📫 Contact

For questions or collaboration:

• GitHub: Shah-123
• Email : Shahkar Ahamad Shah