Portfolio

Welcome to my personal portfolio repository! Here, you'll find a collection of my projects and contributions in various areas, including software development, machine learning, and AI.

About

This portfolio showcases my work, highlighting:

• Machine Learning Algorithms: This folder covers implementations of machine learning algorithms from scratch, testing assumptions of any machine learning algorithm and their practical usage on real world data.
• Deep Learning: This folder explores some of the deep learning algorithms and how they are implemented on synthetic data as well as messy real world data.
• Generative AI: This folder features implementations of generative AI models, exploring core concepts, training methods, and real-world applications in data and content generation.

Getting Started

To view my projects, simply browse the repository. For more details on each project, check the respective folders.

Project List

1. Linear Regression Implementation
2. Logistic Regression Implementation
3. Decision Trees Implementation
4. Random Forest Implementation
5. Support Vector Machine Implementation
6. Naive Bayes Implementation
7. k-Nearest Neighbors Implementation
8. Testing Assumptions of Linear Regression
9. Artificial Neural Network with PyTorch
10. Convolutional Neural Network with PyTorch
11. Simple Retrieval-Augmented Generation (RAG)
12. RAG for PDFs
13. Vision Based RAG with ColPali
14. ReAct Agent Implementation
15. Natural Language to SQL Query for DataFrames
16. Verbal Self Reflection Agent
17. Numerical Self Reflection Agent
18. Hypothetical Document Embeddings (HyDE) for RAG
19. ColBERT for RAG
20. Breast Cancer Prediction
21. Divorce Prediction
22. Gender Classification
23. Loan Default Credit Risk Modelling
24. Stroke Occurence Prediction

Contact

Feel free to reach out if you have any questions or collaboration opportunities:

• Email: [email protected]
• LinkedIn: Connect with me here on LinkedIn

Thank you for visiting!