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Machine Learning Practice · Quiz 1 · 29 Oct 2023 · September 2023 term

Question 15: While performing exploratory data analysis (EDA) on a da…

Question 15

+3 marksOne or more correct options

While performing exploratory data analysis (EDA) on a dataset, you come across some columns with a high percentage of missing values. Along with that, a few categorical columns have a large number of unique categories. Which of the following actions would typically be a recommended initial approach during EDA? (Choose multiple correct options.)

Select all that apply.

  1. A

    Visualizing the data distribution of columns to understand their characteristics.

  2. B

    Using dimensionality reduction techniques, like PCA, to handle columns with many unique categories.

  3. C

    Visualizing the distribution of missing values across the dataset to ascertain any patterns or systematic missingness.

  4. D

    Removing columns that have more than 90% missing values without any context.

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Correct answers

  • A

    Visualizing the data distribution of columns to understand their characteristics.

  • C

    Visualizing the distribution of missing values across the dataset to ascertain any patterns or systematic missingness.

  • D

    Removing columns that have more than 90% missing values without any context.

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Question 15 of 23 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 29 Oct 2023, in the September 2023 term (IIT M DIPLOMA AN2 EXAM QPD2 29 Oct 2023). It carries 3 marks.

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