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

Поділитися
Вставка
  • Опубліковано 30 вер 2017
  • Pair Plot in Seaborn: Lecture 3 | Python Seaborn | Exploratory Data Analysis | Applied AI Course
    #pairplot #seaborn #appliedaicourse
    For more details please visit
    www.appliedaicourse.com/cours...
    #ArtificialIntelligence,#MachineLearning,#DeepLearning,#DataScience,#NLP,#AI,#ML
    THANKS FOR WATCHING 😊

КОМЕНТАРІ • 30

  • @puneetsharma2110
    @puneetsharma2110 2 роки тому +3

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

  • @AkHafiz
    @AkHafiz 3 роки тому +3

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

  • @ksrajavel
    @ksrajavel 3 роки тому +2

    Jeez Man! This dude is a genius.

  • @tanviralamroni1547
    @tanviralamroni1547 3 роки тому +1

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

  • @amiraaliIsInLove
    @amiraaliIsInLove Рік тому

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

  • @jannroche
    @jannroche 2 роки тому

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

  • @biaza11
    @biaza11 8 місяців тому

    God bless you

  • @reshaknarayan3944
    @reshaknarayan3944 3 роки тому +1

    thank you for the fantastic explanation

  • @truongngo6746
    @truongngo6746 4 роки тому +1

    Thanks for your explanation!!

  • @harpuneetkochar5407
    @harpuneetkochar5407 6 років тому +2

    Good Lecture......

  • @shahnawazkhan1636
    @shahnawazkhan1636 3 роки тому +1

    great sir

  • @aparharshbajpai2625
    @aparharshbajpai2625 3 роки тому +1

    Thank you sir.... You are fantastic

  • @DurgaPrasad-ng7ze
    @DurgaPrasad-ng7ze 2 роки тому

    One of the best explanation

  • @iftikhar3609
    @iftikhar3609 3 роки тому

    Can't resist my self to subscribe his channel

  • @nicesati
    @nicesati 2 роки тому

    just understand the interpretation.
    thank you!!

  • @iftikhar3609
    @iftikhar3609 3 роки тому

    Outstanding!

  • @tambetabitha8889
    @tambetabitha8889 4 роки тому +1

    Thank you!

  • @aashishmalhotra
    @aashishmalhotra 2 роки тому

    Wow👌

  • @nikhilchandh5
    @nikhilchandh5 4 роки тому +1

    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.

  • @nixappan
    @nixappan 4 роки тому +1

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

  • @dudee420
    @dudee420 6 років тому +2

    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
      @AppliedAICourse  6 років тому

      Please drop all your queries at team@appliedaicourse.com

  • @manichaturvedi3675
    @manichaturvedi3675 6 років тому +1

    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
      @maheshk6948 5 років тому

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

    • @AppliedAICourse
      @AppliedAICourse  5 років тому

      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.

  • @anihjoshua287
    @anihjoshua287 3 роки тому +1

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

  • @pichukasujith1564
    @pichukasujith1564 5 років тому +2

    Name Iris is not defined (my error)

    • @AppliedAICourse
      @AppliedAICourse  5 років тому +1

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