Seaborn Tutorial 2020

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This video provides complete coverage of Seaborn with many real world examples. Seaborn is a data visualization library built on top of Matplotlib. Seaborn is often used because it makes attractive visualizations and works easily with Pandas and NumPy.

While with Matplotlib you often have to write multiple lines of code to create a plot, Seaborn makes assumptions on what you want which often translates into getting the same plot with 1 line of code.

If you want a video that condenses the whole Seaborn API and all that it can do into 1 video with a ton of examples, then this video is for you.

I cover most everything you'll learn by reading the API here. Next I'll cover SciPy, StatsModels, Plotly, Cufflinks, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. CLICK THE NOTIFICATION BELL

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Seaborn GitHub Cheat Sheet : https://github.com/derekbanas/seaborn

DATA SCIENCE VIDEOS
Install for Windows : https://youtu.be/a7Ylbn1ikF0
Install for MacOS : https://youtu.be/2JeoNlCcLOM
Probability in One Video : https://youtu.be/sEte4hXEgJ8
Statistics in One Video : https://youtu.be/tcusIOfI_GM
NumPy in One Video : https://youtu.be/8Y0qQEh7dJg
Pandas in One Video : https://youtu.be/PcvsOaixUh8
Matplotlib in One Video : https://youtu.be/wB9C0Mz9gSo

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TABLE OF CONTENTS
00:00 Intro
00:28 Setup
02:17 Import Data & Datasets
04:22 Distribution Plot
06:53 Joint Plot
08:19 Hexagon Distribution
08:36 KDE Plot
09:06 Pair Plot
12:05 Rug Plot
13:05 Styling
17:42 Bar Plot
19:35 Count Plot
20:41 Box Plot
23:17 Violin Plot
24:42 Strip Plot
26:50 Swarm Plot
28:07 Palettes
32:18 Heatmaps
38:33 Cluster Map
42:11 Pair Grid
46:57 Facet Grid
54:47 Regression Plots

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Видео Seaborn Tutorial 2020 канала Derek Banas