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The Complete NumPy course For Data Science : Hands-on NumPy
Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science
What you'll learn?
- Convert RGB to Grayscale to Binarize image with Numpy
- Apply Filter on Image with Numpy Operation
- Apply OneHot encoding technique with Basic Numpy Functions
- Different Numpy function applied as Matrix/Array Operations
- You will learn Numpy - Numerical Python Library
Requirements and What you should know?
- Basics of Python Language
Who is this course for?
- Any Python Developer who is curious about Data Science
- Anyone who want to learn Numpy - Numerical Python Library.
- Anyone who want to learn how to process N dimensional Data
What is this course about?
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
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