Key Features of NumPy

INTRODUCTION TO NUMPY


Key Features of NumPy for Machine Learning

  • N-dimensional array (ndarray): A powerful object that allows for handling of large datasets efficiently.
  • Mathematical and statistical functions: Includes operations like mean, median, standard deviation, and linear algebra functions for numerical analysis.
  • Random number generation: Used in machine learning for initializing weights, bootstrapping, and creating synthetic data.
  • Broadcasting: Allows operations on arrays of different sizes without the need for manual reshaping.
  • File handling: NumPy allows reading and writing from CSV, binary, and other formats, making it easy to store and manipulate datasets.
  • Memory efficiency: Uses less memory than Python lists due to optimized storage.