Numpy Operations | Python for Machine Learning
In this video, you’ll learn about how to perform different operations using the Numpy Library. This library is essential to Machine Learning! You’ll learn about how to add, subtract, multiply, and divide arrays; how to perform advanced mathematical operations such as np.log(), np.sin(), and np.sqrt(); and how to use np.ceil() to round an array up, np.floor() to round an array down, np.trunc() to truncate an array, and np.absolute() to take the absolute value of an array. After watching this video and learning the basics of Numpy operations, there’s an activity right below this description for you to try out on your own using the skills you learned here. Enjoy!
NUMPY OPERATIONS ACTIVITY:
Create a random 1 dimensional numpy array with some values larger than 1 and some smaller than -1 and round the first half of the elements up and the last half down.
TIMESTAMP:
00:00 Introduction & Recap of Last Video
00:19 Lesson Structure for Numpy Operations Video
00:39 Addition, Subtraction, Multiplication, Division using Numpy
02:25 Advanced Mathematical Operations
03:00 Ceil, floor, trunc, absolute
05:00 Call-to-action: Numpy Operations
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