Univariate analysis using PDF EDA Lecture 6@ Applied AI Course

Поділитися
Вставка
  • Опубліковано 8 лют 2025

КОМЕНТАРІ • 5

  • @XxelitebeautyxX
    @XxelitebeautyxX 6 років тому +1

    I am going through the playlist and I just pressed back button not because I had a doubt, I wanted to like the video.
    You're really helpful!

  • @ksrajavel
    @ksrajavel 4 роки тому

    Nice explanation

  • @girijapanda1306
    @girijapanda1306 6 років тому +1

    for i in column:
    abcd=sns.FacetGrid(iris,hue="Typeofflower",size=4)\
    .map(sns.distplot,i) \
    .add_legend()
    plt.show()

    • @surendersk7168
      @surendersk7168 5 років тому +1

      sns.set_style("whitegrid")
      for i in np.array(['SepalLengthCm', 'SepalWidthCm', 'PetalLengthCm', 'PetalWidthCm']):
      abcd=sns.FacetGrid(iris,hue="Species",size=4)\
      .map(sns.distplot,i) \
      .add_legend()
      plt.show()

  • @amitkumarmaji2983
    @amitkumarmaji2983 4 роки тому

    Hi! Really liked the concept explanation. I have a question.
    Ques: As we have only 4 columns to do Uni-variate analysis, it is easier. How about scenarios where we have 100 variables. Should we only use uni-variate analysis on selected variables or is there any alternate option?
    Kindly help. Thanks