Tag Archives: NumPy

ML Zoomcamp 2023 – Introduction to Machine Learning – Part 8

Overview: Introduction to NumPy part 3/3 Randomly generated arrays In addition to creating and manipulating multi-dimensional arrays, NumPy also provides the capability to generate arrays filled with random values. This can be useful in various scientific and mathematical applications, as well as for testing and simulation purposes. To create a randomly generated array, you canContinue reading “ML Zoomcamp 2023 – Introduction to Machine Learning – Part 8”

ML Zoomcamp 2023 – Introduction to Machine Learning – Part 7

Overview: Introduction to NumPy part 2/3 Multi-dimensional arrays One of the key advantages of NumPy is its ability to efficiently work with multi-dimensional arrays. These arrays can have any number of dimensions, from one-dimensional arrays (vectors) to two-dimensional arrays (matrices) to higher-dimensional arrays. To create a multi-dimensional array in NumPy, you can use the numpy.array()Continue reading “ML Zoomcamp 2023 – Introduction to Machine Learning – Part 7”

ML Zoomcamp 2023 – Introduction to Machine Learning – Part 6

Overview: Introduction to NumPy part 1/3 Numpy is a powerful Python library that provides support for large, multi-dimensional arrays and matrices, along with a wide range of mathematical functions to operate on these arrays. By importing the NumPy module as np, we gain access to all of its functionality and can easily manipulate arrays inContinue reading “ML Zoomcamp 2023 – Introduction to Machine Learning – Part 6”