Seaborn Tutorial 2020
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This video offers full protection of Seaborn with many actual world examples. Seaborn is a knowledge visualization library constructed on high of Matplotlib. Seaborn is usually used as a result of it makes enticing visualizations and works simply with Pandas and NumPy.
While with Matplotlib you typically have to put in writing a number of traces of code to create a plot, Seaborn makes assumptions on what you need which frequently interprets into getting the identical plot with 1 line of code.
If you need a video that condenses the entire Seaborn API and all that it could do into 1 video with a ton of examples, then this video is for you.
I cowl most all the pieces you may study by studying the API right here. Next I’ll cowl SciPy, StatsModels, Plotly, Cufflinks, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and extra. 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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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
new drinking game: drink every time he says ''aight?''
This video was awesome! Thank you so much 🙂
Where are the CSV links?
Superb, well done.
10:22 the total bill was 16.99, so the extra cent makes it an even bill.
loved the video, very useful
It's great to see your tutorial on seaborn, thanks for making such a video anyone can understand easily. I wanted to follow same use cases what were explained in video, but unfortunately i couldn't find dat set. Could you please share dataset link? That would be great help. Thanks again for making such video.
Does anyone know how you would label each data point so the dataframe values showed above each plot on the graphs?
The box in the box plot actually shows the Interquartile range (25th Percentile and 75th Percentile), not the standard deviation.
how to change the hue color?
Thanks man
Hey anyone know how I can create 2 separate box plots next to each other rather than one above the other?
Thank you soo much,
Thank you soo much,
It help me a lott
You are a Legend….
Hi! How are you? I hope you are doing well. I can’t believe that I just found your channel today. Thank you very much for all your content.
32.2 heatmat
Nice! Will you make a video on Altair?
Hey Derek! In need of some recommendation so I look to you for advice.
I'm reviving a 2014 laptop for a friend who wants to use it to program and surf the web (plenty of RAM and an SSD included). He wants a good looking desktop environment. I'm torn between suggesting Elementary OS and Kubuntu. (or can look towards xfce as well?) Thoughts?
Great video Derek!!
Sir,
Please make a video about Pascal Programming
Great! Is there anything that you don't know? Will you do Kung Fu lessons for beginners?
Hello Derek,
Can you make an online 1-hour tutorial for a domain specific language called GAMS? It is used in Mathematical Optimization community. You can download the free demo here:
https://www.gams.com/
Keep up the good work. Cheers!
I've read the video's description.
I've seen linear algebra and calculus too.
You will be a life saver, Derek.
Keep it up!
Legit, awesome work.
Wow you’re a true legend. Keeping up the promise to teach the community is very hard, yet you always ensure to achieve it. Thanks a ton.
I will checkout this video. Also I checked the description of this video and one of the next items mentioned therein was Scrapy, May I ask if you could start with base as BeautifulSoup and then build on scrapy? Because BeautifulSoup is simple yet powerful, it forces the programmer to do all the work with good understanding of web scraping.
Also another request. Once you find time please check the possibilities of making tutorial on PyQtGraph.
Thanks😇
Just what I wanted. Take lots of love, master. One more thing, which one would you prefer? Seaborn or matplotlib for basic visualization in data analysis.
Thanks, Derek. Very Cool!
Thanks 😊
Merci Grandement (:
Yes!
Thanks a LOT Derek!
Have been waiting for this one!
You are a LEGEND🙏
Hello Derek! What do you use for making the thumbnail of your videos?
Sir is it helpful for machine learning coz I m following u for the whole course
Wow … Thank you so much again … I was looking for both latest matplotlib and seaborn tutorial … You did both !!!! What a coincidence !!!
Hey Derek! I just wanted to know how to show whiskers in boxplot as standard deviation and not as a percentile division?
Thanks Eric.
Waiting for tutorial to chickens.