NumPy Tutorial for Data Science

Publicado em: 07 Novembro 2022
no canal de: iMProgrammer

226

Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python for Data Science
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Wanna learn NumPy?

Look no further. This course covers everything from how to install and import NumPy to how to solve complex problems involving array creation, transformations, and random sampling.

Course Structure

The course is presented as a series of on-demand lecture style videos with lots of animated examples, code walkthroughs, and challenge problems to test your knowledge. Go as fast or as slow as you want.

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.

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.

This course introduce with all majority of concept of NumPy - numerical python library.

I will teach from what and why of NumPy to all important concept of N dimension data processing

This course covers following topics.

Why and What NumPy is

NumPy installation

Creating NumPy array

Array indexing and slicing

Array manipulation

Mathematical & statistical function

Linear algebra function

How to persist NumPy array

Numpy practical application on Images

RGB Image to Gray scale conversion

Apply average and edge detection filter on images

What you’ll learn

Different Numpy function applied as Matrix/Array Operations
Different Numpy function for Linear Algebra, Statistics, Math
Numpy for Matplotlib visualization
Numpy Quizzes

Are there any course requirements or prerequisites?

Basic knowledge of Python Programming Language

Who this course is for:

Data Science Beginners
Anyone who want to learn how to process N dimensional Data
Anyone who want to learn Numpy - Numerical Python Library.

#NumPy #DataScience #Morioh

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