Tutorial 9- Seaborn Tutorial- Distplot, Joinplot, Pairplot Part 1

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Hello All,
Welcome to the Python Crash Course. In this video we will understand about Seaborn

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there are many institutions including online courses charging anything more than 1 lack but not able explain concisely and clearly the you way you do it.
I like your explanation very much.

hanman
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Negative correlation implies that if one is increasing other is decreasing (in reference to 11:01 )

poojabhakuni
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Crystal clear explanation .I bet no online courses explain it so well. Thanks a lot

sumaiyamohiyuddin
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This video is amazing!! I was having some issues with graphs, you just cleared every problem of mine in a single video. Thank You So much!!

rk
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This Guy is Amazing. He can teach you Data science in a very simple way.

gaganhsjois
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Like the way you explain things . So precise and clear. Kudos to you 👍👍

aishhu
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Krish sir. You are an inspiration. I am a student of upgrad but I am learning through your video about Data Analytics. Thanks a lot sir.

ZorroOZ_music
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[On lighter note] Apart from your wonderful way to describe the complex concept to simple manner, One thing I noticed and important to note: "This is pretty much simple" :D

rachitgoyal
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Correction: correlation is (+) means they are directly proportional
correlation is (-) means they are inversely proportional

MohamedAshraf-zsnv
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you really nailed..i was struggling to plot seaborn graphs..

VinayKumar-fpfc
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Thanks for this video, Krish. Very well elucidated. Request you to kindly correct your notebook and change "JoinPlot" to "JointPlot"

KetakiVaidya
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Thank you for all these efforts and helping people out. I am in love with you. :)

shwetaredkar
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Inreference to 11:01 Negative correlation means those features are inversely proportional.It clearly means one increases will result into another one decreasing.

vasisthdave
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Nice video.
Have one question, when to use dist plots?
joinplot & pairplot explained when to use.

anugantisuresh
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when i done practical in clg i just get output as some fig. and i was happy with that like i'm getting ourtput. But here i undersand the meaning behind that fig. like regression lines, heatmap and all also i understand waht really problems are and what innsigts fig are providing

luckymoon
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Hi Krish. One small suggestion. You can use
import warnings

to ignore the warnings that you are otherwise getting when plotting the distplot.

KetakiVaidya
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It would be nice to add service quality feature like (low, medium, good, very good) to predict

DataInsights
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Around 11:15, you said if total bill is decreasing then tip also decreases which is negatively correlated however they should actually head in opposite directions if the total bill increases, then the tip should be decreasing, correct?

jeevanthikaratan
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how can we know what is independent variable and which is dependent feature.i mean every time in the question we may not get the details of this thing? can you please explain for this

gudejyothi
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How to understand dependent and independent variable, bacause you told in this video "tips" is dependent variable, please answer the question.

shahnawazkhan