The Complete NumPy course For Data Science : Hands-on NumPy (Updated)

Category: Tutorial


Posted on 2020-05-13, by 0nelovee.

Description

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The Complete NumPy course For Data Science : Hands-on NumPy (Updated)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 29 lectures (3 hour) | Size: 933 MB


Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science
What you'll learn

You will learn Numpy - Numerical Python Library
Apply Filter on Image with Numpy Operation
Convert RGB to Grayscale to Binarize image with Numpy
Apply OneHot encoding technique with Basic Numpy Functions
Different Numpy function applied as Matrix/Array Operations

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.

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

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http://nitroflare.com/view/75235B866A3D5F3/The_Complete_NumPy_course_For_Data_Science__Hands-on_NumPy.part1.rar
http://nitroflare.com/view/C78293C66575902/The_Complete_NumPy_course_For_Data_Science__Hands-on_NumPy.part2.rar
or

https://rapidgator.net/file/fc67ee3f47d0a4d6a65d57677346ce03
https://rapidgator.net/file/7fc3d5ae6982901dab54c1f6429ca3d7


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