Data Science Portfolio Website

Welcome to the Data Science Portfolio Website! This project showcases various data science projects and experiences, providing insights into the methodologies, technologies, and results achieved.

Features

• Featured Projects: Highlighting key data science projects with detailed descriptions and technologies used.
• Responsive Design: The website is designed to be responsive, providing an optimal viewing experience across devices.
• Interactive Components: Utilizes React and Framer Motion for smooth animations and transitions.

Technologies Used

• Frontend:
  • React
  • TypeScript
  • Framer Motion
  • Lucide Icons
• Backend:
  • FastAPI
• Data Management:
  • JSON for project data

Installation

To get started with the project, follow these steps:

1. Clone the repository:

   git clone https://github.com/arpitkumar2004/data_science-portfolio-website-final.git

2. Navigate to the project directory:

   cd data_science-portfolio-website-final

3. Install dependencies:

   npm install

4. Start the development server:

   npm run dev

5. Build the production version:

   npm run build

6. Deploy the website:

   npm run deploy

7. Open the deployed website in your browser:

   npm run preview

Usage

Explore the featured projects to learn about various data science methodologies. Click on project cards to view detailed descriptions and links to GitHub repositories or live demos.

Contributing

Contributions are welcome! If you have suggestions for improvements or new features, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.