Data Science and Machine Learning (Theory and Projects) A to Z: Part 03

Part 3 of the Data Science and Machine Learning (Theory and Projects) A to Z series transcends the foundational knowledge established in Parts 1 and 2, venturing into feature engineering, dimensionality reduction, and deep learning with Python. It offers an in-depth exploration of techniques to refine data features and reduce noise, bolstered by the mathematical underpinnings essential for understanding complex models. Participants will gain hands-on experience with PyTorch, undertaking a significant project on COVID-19 data analysis. This segment not only broadens analytical skills but also prepares learners for the advanced deep learning topics covered in Part 4, focusing on neural networks and AI applications.