🎓 Data Science and Machine Learning Portfolio
Welcome to my collection of applied Data Science and Machine Learning projects built using Python, scikit-learn, PyTorch, and transformer-based models. Each project demonstrates end-to-end workflows — from data preprocessing and feature engineering to model development, tuning, and interpretation.
DATA SCIENCE AND MACHINE LEARNING
Supervised learning with scikit learn
Unsupervised learning in Python
Linear Classifiers in Python
Machine Learning for Time-Series Data in Python
Machine Learning with Tree-Based Models in Python
Extreme Gradient Boosting with XGBoost
LARGE LANGUAGE MODELS
Basics of LLMs in Python
Deep Learning for Text with Pytorch
Transformer Models with PyTorch
Llama Fundamentals
Developing LLM Applications with LangChain