MACHINE LEARNING

Detailed explanation-1: -NumPy is used to work with arrays. The array object in NumPy is called ndarray . We can create a NumPy ndarray object by using the array() function.

Detailed explanation-2: -An ndarray is a (usually fixed-size) multidimensional container of items of the same type and size. The number of dimensions and items in an array is defined by its shape, which is a tuple of N non-negative integers that specify the sizes of each dimension.

Detailed explanation-3: -Ndarray is the n-dimensional array object defined in the numpy which stores the collection of the similar type of elements. In other words, we can define a ndarray as the collection of the data type (dtype) objects. The ndarray object can be accessed by using the 0 based indexing.

Detailed explanation-4: -You can create a single-dimensional array using a list of numbers. Use numpy. array() function which is the most familiar way to create a NumPy array from other array-like objects. For example, you can use this function to create an array from a python list and tuple.