Machine learning & data science projects with real-world applications
This repository contains a collection of my machine learning and data science projects. Each project focuses on applying theoretical concepts to real-world problems, including:
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Machine Learning Model Building
- Evaluation and Optimization
- AI Applications (e.g., RAG systems)
Each folder includes a dedicated README with details and instructions.