This repository is dedicated to housing all my analytical code, notebooks, and learning materials derived from Kaggle competitions, datasets, and tutorials. It serves as a focused, evolving portfolio showcasing my technical skills in Data Science, Machine Learning, and AI.
The goal is to provide clear, reproducible, and well-documented analyses for quick review and continuous skill refinement.
This section outlines the primary tools and libraries used across the projects:
- Language: Python
- Key Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, PyTorch / TensorFlow
- Notebook Environment: Jupyter Notebook / Google Colab
- Data Source: Kaggle