All You Need to Know About NumPy for Machine Learning, Deep Learning, & AI

NumPy is a Python library for manipulating large, multi-dimensional arrays, which is fundamental to machine learning. This module will cover all you need to know about NumPy, which allows you to start immediately by performing machine learning and artificial intelligence tasks. Topics include:
How to create NumPy arrays with different ranks and dimensions?
How to inspect the shape, dimension, and data type of an NumPy array?
How to create NumPy arrays with pre-filled numbers (zeros, ones, random values)?
How to copy, sort, reshape, transpose, and flatten NumPy arrays?
How to add or remove elements from an NumPy array?
How to combine or split an NumPy array horizontally or vertically?
How to index, slice, and subset an NumPy array?
How to do scalar math operations using NumPy?
How to do vector math operations (e.g., dot product) using NumPy?
How to calculate sum, mean, and other statistics by row or column in NumPy?
How can we understand axis = 0 and axis = 1 in NumPy?

Hashtags: #ai #artificialintelligence #tutorial #tutorials #numpy #coding #numpytutorial #googlecolab #programming #machinelearning #deeplearning #python #pythonprogramming #pythontutorial #aitutorial