Module 1: Python Fundamentals
• Python syntax, data types, and OOP
• IDEs: PyCharm, Jupyter Notebook, Google Colab
Module 2: Data Science Libraries
• NumPy, Pandas, Matplotlib, Seaborn
• Data preprocessing techniques
Module 3: Machine Learning Models
• Regression, classification, and clustering
• Supervised & unsupervised learning (Scikit-learn, TensorFlow, PyTorch)
Module 4: AI-Based Applications
• NLP (Natural Language Processing) with SpaCy & NLTK
• Computer Vision with OpenCV, YOLO