[100%OFF]The Python NumPy Masterclass


Description

The Python NumPy Masterclass

With not just tutorials but also example walkthroughs, this boot camp offers a seamless collection of videos taking you through Python Numpy with programs to work with as examples. This course offers in-depth yet simplified explanations for the fundamental concepts of Python Numpy.The Python NumPy Masterclass

If you want to learn the fundamentals of Python Numpy for Data Science and want to use it for creating awesome programs that can help you with real-world situations, this course is just for you!

What are you waiting for? I’ll see you there!

– Eftekher Husain

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

Who this course is for:

  • Beginner Python Developers Curious About Data Science
  • Anyone Who is Passionate About Python
  • Anyone Who is Passionate About Data Science
  • People Who Are Interested In Programming or Software Development
  • Anyone Who is Interested in Data Science
  • Anyone Who Is Willing To Make Their Own Python Programs.

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