The Complete NumPy course For Data Science Hands-on NumPy

[Prohibitive]

$19.99 | Created by Ankit Mistry | Last updated 2/2020
Duration: 2.5 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 693 MB
Genre: eLearning | Language: English + Sub | 25 lectures

What you'll learn

You will learn Numpy - Numerical Python Library

Requirements

Basics of Python Language

Description

It's difficult to describe everything around us with just one number. The world is multidimensional. The data we are consuming, product we use on daily basis, from non living organism to living organism require many feature to fully characterise and quantify it.
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So if you want to learn about fastest python based numerical multi dimensional data processing framework, which is the foundation for many data science package like pandas for data analysis, sklearn scikit-learn for machine learning algorithm, you are at right place.
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This course introduce with all majority of concept of NumPy - numerical python library.
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I will teach from what and why of NumPy to all important concept of N dimension data processing.
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This course covers following topics.
Why and What NumPy is
NumPy installation
Creating NumPy array
Array indexing and slicing
Array manipulation
Mathematical & statistical function
https://sanet.st/blogs/tomorrowland2
Linear algebra function
How to persist NumPy array
See you inside course.
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Happy learning
Ankit Mistry

Who this course is for:

Any Python Developer who is curious about Data Science
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