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The Complete NumPy course For Data Science : Hands-on NumPy (Updated)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 933 MB
Genre: eLearning Video | Duration: 29 lectures (3 hour) | Language: English
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
Apply average and edge detection filter on images
See you inside course.
Happy learning
Ankit Mistry
Who this course is for:
Any Python Developer who is curious about Data Science
Anyone who want to learn how to process N dimensional Data
Anyone who want to learn Numpy - Numerical Python Library.
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