Can NumPy be used for machine learning applications?

Yes, NumPy is widely used in machine learning for data preprocessing, numerical computations, and feature engineering. It forms the backbone of other ML libraries like TensorFlow and scikit-learn. Tasks like normalizing datasets, implementing gradient descent, or managing multi-dimensional data arrays can be performed using NumPy. While not a full ML framework, it’s indispensable for low-level operations in model development.