Pair Plot in Seaborn: Lecture 3 | Python Seaborn | Exploratory Data Analysis | Applied AI Course

Pair Plot in Seaborn: Lecture 3 | Python Seaborn | Exploratory Data Analysis | Applied AI Course
#pairplot #seaborn #appliedaicourse
For more details please visit
www.appliedaic...
#ArtificialIntelligence,#MachineLearning,#DeepLearning,#DataScience,#NLP,#AI,#ML
THANKS FOR WATCHING 😊

[@puneetsharma2110]

Easiest and the most in-depth explanation of pair plots i have seen on youtube. thank you.

[@AkHafiz]

This is perhaps the most elaborated and clearly explained illustration that I came across about the pair plot. Thanks, man.

[@ksrajavel]

Jeez Man! This dude is a genius.

[@biaza11]

God bless you

[@shahnawazkhan1636]

great sir

[@amiraaliIsInLove]

My god it's so simple and clear..man you are unbelievable! Thanks a million ❤❤❤❤

[@nikhilchandh5]

What is the importance of size attribute..in this video you have assigned 3 to size attribute...and in the 2d scatter plot video you have assigned 4 to size attribute.

[@tanviralamroni1547]

Insanely good!
Can't resist me from subscribing to the channel!

[@jannroche]

now I understand what pair plots are used for! thank you.

[@DurgaPrasad-ng7ze]

One of the best explanation

[@aparharshbajpai2625]

Thank you sir.... You are fantastic

[@reshaknarayan3944]

thank you for the fantastic explanation

[@harpuneetkochar5407]

Good Lecture......

[@iftikhar3609]

Can't resist my self to subscribe his channel

[@truongngo6746]

Thanks for your explanation!!

[@aashishmalhotra]

Wow👌

[@nicesati]

just understand the interpretation.
thank you!!

[@iftikhar3609]

Outstanding!

[@nixappan]

can you please show how to add correlation coefficient in pairplot?

[@dudee420]

Hello Sir, Thanks for brilliant video on Pair plot ,I have some queries on these.In the last 16 graphs, we selected only one as it was showing iris-setosa in separate side and other 2 are also on other separated location (only some case are indeed mixed) .
.But if i see other graphs also similar and giving good graph prediction for example 3 column 4th graphs.
this is also giving good picture. Why we didnt use that graph. can you please brief i am still trying to understand the decision matrix here as i am new in this and still learning.
Secondly what about the second set with 6 graphs. can we use that one also .
and also can you help on the use of bar graphs .

[@AppliedAICourse]

Please drop all your queries at [e-mail]

[@manichaturvedi3675]

Hello sir,
My question is, why pair plot didnt consider the species column while it considered 1st 4 columns?
Did we specify somehow that the last column is the Class column and how do pair plot know which columns to take?

[@maheshk6948]

It's not numeric column so it will not be considered

[@AppliedAICourse]

here we have specified using hue parameter i.e hue = "species" so using this feature which is class label it divides points belongs to setosa,versicolor and verginica based on 4 numeric features.

[@tambetabitha8889]

Thank you!

[@pichukasujith1564]

Name Iris is not defined (my error)

[@AppliedAICourse]

Try to load the datafile first as:
iris = pd.read_csv("iris.csv")

[@anihjoshua287]

God will bless.
As you dealt with me so well in this knowledge, your helper shall locate you in Jesus name.