| Semester 1 | Semester 2 | Semester 3 | Semester 4 |
|---|---|---|---|
| Semester 1 Python Programming Fundamentals |
Semester 2 Supervised Machine Learning |
Semester 3 Deep Learning |
Semester 4 Deployment & Capstone |
| NumPy, Pandas & Data Analysis | Regression Algorithms | Neural Networks | Flask & FastAPI |
| Data Visualization (Matplotlib, Seaborn) | Classification Algorithms | CNN for Computer Vision | Model Deployment |
| Statistics & Probability | Decision Trees & Random Forest | RNN & LSTM | MLOps Basics |
| Linear Algebra for ML | SVM & KNN | Transformers | Docker for ML |
| Data Preprocessing | Clustering & PCA | Transfer Learning | Cloud Deployment |
| Feature Engineering | Model Evaluation | Natural Language Processing | Capstone Project |
| SQL for Data Science | Hyperparameter Tuning | Recommendation Systems | Interview Preparation |
| Git & GitHub | Scikit-learn Projects | OpenCV Projects | Resume & Portfolio |
| Python Mini Projects | End-to-End ML Project | Generative AI Introduction | Industry Certification Revision |
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