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Question - 1

Data science is the process of a diverse sets of data through?

  • organizing data
  • processing data
  • analysing data
  • All of the above
Solutions
Question - 2

Data science is the process of diverse sets of data through?

  • organizing data
  • processing data
  • analysing data
  • All of the above
Solutions
Question - 3

The modern conception of data science as an independent discipline is sometimes attributed to?

  • William S.
  • John McCarthy
  • Arthur Samuel
  • Satoshi Nakamoto
Solutions
Question - 4

Which of the following language is used in Data Science?

  • C
  • C++
  • R
  • RUBY
Solutions
Question - 5

Which of the following is false?

  • Subsetting can be used to select and exclude variables and observations
  • Raw data should be processed only one time.
  • Merging concerns combining datasets on the same observations to produce a result with more variables
  • None Of the above
Solutions
Question - 6

Which of the following are correct skills for a Data Scientist?

  • Probability & Statistics
  • Machine Learning / Deep Learning
  • Data Wrangling
  • All of the above
Solutions
Question - 7

Which of the following is not a part of the data science process?

  • Discovery
  • Model Planning
  • Communication Building
  • Operationalize
Solutions
Question - 8

Which of the following is not an application for data science?

  • Recommendation Systems
  • Image & Speech Recognition
  • Online Price Comparison
  • Privacy Checker
Solutions
Question - 9

A ________ is a structured representation of data.

  • database table
  • functions
  • data preparation
  • data frame
Solutions
Question - 10

We write ______ in front of mean to let Python know that we want to activate the mean function from the Numpy library.

  • npm
  • np
  • ng
  • ngm
Solutions
Question - 11

Point out the correct statement.

  • Raw data is original source of data
  • Preprocessed data is original source of data
  • Raw data is the data obtained after processing steps
  • None of these
Solutions
Question - 12

Which of the following is the common goal of statistical modeling?

  • Inference
  • Summarizing
  • Subsetting
  • None of the above
Solutions
Question - 13

Which of the following is a revision control system?

  • Git
  • Numpy
  • Scipy
  • Slidify
Solutions
Question - 14

Which of the following focuses on the discovery of (previously) unknown properties on the data?

  • Data mining
  • Big data
  • Data wrangling
  • Machine learning
Solutions
Question - 15

How do we perform Bayesian classification when some features are missing?

  • We assuming the missing values as the mean of all values.
  • We ignore the missing features.
  • We integrate the posteriors probabilities over the missing features.
  • Drop the features completely.
Solutions
Question - 16

Which of the following statement is False in the case of the KNN Algorithm?

  • For a very large value of K, points from other classes may be included in the neighborhood.
  • For the very small value of K, the algorithm is very sensitive to noise.
  • KNN is used only for classification problem statements.
  • KNN is a lazy learner.
Solutions
Question - 17

The robotic arm will be able to paint every corner in the automotive parts while minimizing the quantity of paint wasted in the process. Which learning technique is used in this problem?

  • Supervised Learning.
  • Unsupervised Learning.
  • Reinforcement Learning.
  • None of these
Solutions
Question - 18

How do you choose the right node while constructing a decision tree?

  • An attribute having high entropy
  • An attribute having high entropy and information gain
  • An attribute having the lowest information gain.
  • An attribute having the highest information gain.
Solutions
Question - 19

What kind of distance metric(s) are suitable for categorical variables to find the closest neighbors?

  • Euclidean distance.
  • Manhattan distance.
  • Minkowski distance.
  • Hamming distance.
Solutions
Question - 20

In the Naive Bayes algorithm, suppose that prior for class w1 is greater than class w2, would the decision boundary shift towards the region R1(region for deciding w1) or towards region R2(region for deciding w2)?

  • towards region R1.
  • towards region R2.
  • No shift in decision boundary.
  • It depends on the exact value of priors.
Solutions
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