Python basics for Data Science & Machine Learning

Data Analysis with NumPy & Pandas

Feature Engineering & Data Preprocessing

Machine Learning Algorithms from Scratch

Ensemble Learning: Random Forest & XGBoost

Model Evaluation & Hyperparameter Tuning

Real-World Machine Learning Projects

Deep Learning with PyTorch

NLP & Transformers (BERT, GPT)

ML Model Deployment with FastAPI

End-to-End ML Project Workflow

ML Career, Thesis & Research Guidance