Welcome to my collection of basic and beginner-friendly Machine Learning projects! This repository is a learning journal where I experiment with various ML algorithms and datasets while building my foundational understanding.
🚀 These projects are not meant to be production-ready, but rather to demonstrate core ML concepts in action.
This repository includes small, hands-on ML projects using classic algorithms, datasets, and libraries like Scikit-learn, numpy, Pandas,Seaborn and Matplotlib.
Each project is structured for easy understanding with proper code comments, visualizations, and explanations.
| Project Name | Description | Algorithms/Concepts |
|---|---|---|
| Regression | ||
| Index Price Prediction | Prediction of index price by unemployment and interest rate | Multiple Linear Regression |
| _ |
Each project folder includes:
- 📁 Clean code with Google Colab
- 📊 Visualizations
- 📃 Dataset info
- 📄 Summary and insights
- Languages: Python
- Libraries: Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn
- IDE: Google Colab
- Version Control: Git, GitHub
- Add Deep Learning projects using TensorFlow / PyTorch
- Implement model evaluation dashboards
- Integrate CI/CD for automated notebook testing
- Add interactive Streamlit apps for select projects
Feel free to reach out or connect!
- 🧑💻 GitHub: subarnosingh
- 📧 Email: [email protected]
- 🌐 Portfolio: Coming Soon