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Python-Projects

Welcome to my Python Projects repository! This collection showcases a diverse range of Python projects, demonstrating my journey through various domains of programming and data science. From machine learning to web scraping, and from GUI applications to generative AI, this repository reflects my growth and exploration in the world of Python.

🌟 Repository Highlights

  • Diverse Project Types: Includes projects in machine learning, web scraping, GUI development, and more.
  • Learning Journey: Many projects are inspired by Angela Yu's 100 Days of Coding course on Udemy.
  • Practical Applications: Real-world applications of Python in different domains.
  • Skill Progression: Demonstrates a clear progression from beginner to more advanced concepts.

🗂️ Project Categories

1. Machine Learning & AI

  • Various ML models and algorithms implementations
  • Generative AI projects showcasing modern AI techniques

2. Web Scraping

  • Scripts for extracting data from websites
  • Automation of web-based tasks

3. GUI Applications

  • Tkinter-based games and applications
  • Interactive user interfaces for various purposes

4. Data Analysis & Visualization

  • Projects focusing on data manipulation and insights extraction
  • Visualization scripts for better data understanding

5. Automation Scripts

  • Tools for automating repetitive tasks
  • Productivity enhancers using Python

6. API Integrations

  • Projects demonstrating the use of various APIs
  • Data retrieval and processing from external sources

🛠️ Technologies Used

  • Python 3.x
  • Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn
  • Web Scraping Tools: BeautifulSoup, Selenium
  • GUI: Tkinter
  • APIs: Various (specific to each project)

🎓 Learning Resources

Many projects in this repository are inspired by or based on:

  • Angela Yu's 100 Days of Coding: A comprehensive Python course on Udemy

🚀 Getting Started

  1. Clone the repository: ''' git clone https://github.com/sanskaryo/Python-Projects.git'''

  2. Navigate to the project directory of interest.

  3. Install required dependencies (if any):

pip install -r requirements.txt

  1. Run the Python script:

python [script_name].py

📈 Future Directions

  • Continuous addition of new projects and concepts
  • Refinement and optimization of existing projects
  • Exploration of more advanced topics in AI and data science

🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check issues page if you want to contribute.

📝 License

This project is MIT licensed.

📞 Contact

Sanskar Khandelwal - sanskar.chain@gmail.com

Project Link: https://github.com/sanskaryo/Python-Projects


Thank you for exploring my Python Projects repository. This collection represents my ongoing journey in Python programming and data science. Each project here is a step in my learning process, showcasing different skills and concepts I've acquired along the way. I hope you find these projects insightful and inspiring for your own Python journey!