What you'll learn
Get up and going with Descriptions and graphs in Seaborn. Learn how to create stunning visualizations in Seaborn (No, can't do these in MatDescriptionlib). Leverage your MatDescriptionlib skills to upgrade to the shiniest tool in Python's most sophisticated Descriptionting toolkit. Learn all about all the latest and greatest Descriptions available in Seaborn. Master the Seaborn API. Create publication quality Descriptions and graphs using Seaborn.

Requirements
Just a good PC or Mac with decent internet connection. Of course a will to learn. Basic knowledge of the MatDescriptionlib library.
Description
What is Seaborn ?

Seaborn is a statistics library used to create stunning visualizations for statistical data. It is built on top of MatDescriptionlib and very closely integrates with pandas Dataframes. If you want great publication quality graphs on statistical data with minimum coding, this is the library for you.

I already know MatDescriptionlib. Do I need Seaborn ?

While MatDescriptionlib is the beginner's toolkit to create Descriptions & Visualizations in Data science for Python, it has its limitations. This is where Seaborn shines, with its publication quality graphics and advanced visualization aspects that will enable you to create stunning quality graphics with very minimal code. All of this with much smaller syntax compared to MatDescriptionlib.

How different is Seaborn from MatDescriptionlib ?

MatDescriptionlib is limited to basic Descriptionting and its visualization consists of just the core elements of Descriptionting like barcharts, scatter Descriptions and so on. Seaborn on the other hand can do a great deal of visualization and has in-built tools for most of the advanced Data Scientist requirements.

While MatDescriptionlib is closely modelled from MATLAB (another great but proprietary tool), Seaborn is built from the ground up to be an easy to use tool, leaving behind the legacy inadequacies of MatDescriptionlib.

While MatDescriptionlib can work easily with both Pandas Data frames and Numpy Arrays, Seaborn is specifically built to handle Data Frames easily. Seaborn has a much more intuitive API to handle Dataframes.

While MatDescriptionlib provides the most flexibility, Seaborn lets you up and running fast with the mostly used default options.

Who this course is for:
Students who already have a basic understanding of the MatDescriptionlib library and are looking to upgrade their skills then this is the right course for you.
Students who are looking to learn data visualization using Python can check out my course on udemy: MatDescriptionlib Tutorial.

Citación :

https://rapidgator.net/file/4f21d4e996853ecc7877bd15befcb560/4r0fb.Descriptionting.with.Seaborn.for.Beginners.in.Data.Science.rar.html


https://nitroflare.com/view/9C8618757EA701B/4r0fb.Descriptionting.with.Seaborn.for.Beginners.in.Data.Science.rar


https://uploadgig.com/file/download/fa43c9b07204C632/4r0fb.Descriptionting.with.Seaborn.for.Beginners.in.Data.Science.rar