"PyTorch: Tensor, Dataset and Data Augmentation" course equips you with the essential skills to handle and transform data efficiently for machine learning tasks. In this course, students will delve into the essential aspects of working with tensors in PyTorch. They will learn how to efficiently manipulate tensors, perform mathematical operations, and leverage tensor-based operations for tasks like data preprocessing and model training. Through a series of lectures and hands-on exercises, you will gain a deep understanding of PyTorch's data loading capabilities,  PyTorch Dataset Object and learn how to preprocess and augment data to maximize model performance.