Ankit Mistry
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
Instructor Details
Courses : 15
Specification: The Complete NumPy course For Data Science : Hands-on NumPy
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7 reviews for The Complete NumPy course For Data Science : Hands-on NumPy
Add a review
| Price | $9.99 |
|---|---|
| Provider | |
| Duration | 3 hours |
| Year | 2021 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$9.99
Rodrigo da Silva Canario –
D
Marcelo Adri n Maito –
Buena introducci n a NumPy para aquellos que no sepan absolutamente nada de NumPy
Deewakar kumar –
it was really amazing course because of the depth of information in course and how easily it was taught
Doaa Mohammed –
Good and amazing course about numpy thanks alot
Basu Nepal –
Tutorial was good but Alright at every starting and ending just made it sound so un professional. It will be so good to reduce repetition of Alright word, It is really annoying when you notice it.
Alaa ALakkad –
very good
Ahmad Karambakhsh –
It could be better but as it is a free course I reached what I expected.