Numpy Tutorial Introduction & Basics of numpy arrays | Machine Learning Tutorial | Siolabs

In this chapter we learn about the basics of Numpy library in python.
Numpy is one of the most used libraries for machine learning and data science and many other libraries use it as a base to build upon.

It is fast and efficient. View the video to learn more in details.

Chapters:
1:25 Numpy Installation
3:33 Importing numpy
4:30 Why use numpy instead of python list?
6:30 Numpy Array
11:30 Accessing Elements in numpy array
22:00 How to create arrays in numpy ?
27:30 Datatype of numpy arrays
29:30 Doing basic operations on numpy arrays
35:00 Axes in numpy
36:30 Attributes - shape, size and reshaping numpy arrays
45:00 Adding new axis to a numpy array
47:00 Indexing and slicing in numpy array

Other Numpy Tutorials :
Axis and Boolean Indexing : https://youtu.be/sI3RAWbxAYo

Broadcasting in Numpy : https://youtu.be/NmaafLseraA
Study Material - https://github.com/avs20/SioLabsPython0/
Mentor : Ashutosh Singh, SioLabs Inc.
Basics of machine learning using python
- For more interesting tutorials on machine learning,data science & programming concepts, don't forget to subscribe to our channel: https://bit.ly/3kCTfBI

- Learn More at https://www.siolabs.com/

For more updates on courses and tips follow us on:

- Facebook: https://www.facebook.com/siolabs

Видео Numpy Tutorial Introduction & Basics of numpy arrays | Machine Learning Tutorial | Siolabs канала SioLabs