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Question 1

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Which type of Machine learning Data Scientist generally used for solving classification and regression problems?

Question 2

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Which of the learning methodology applies conditional probability of all the variables with respec-tive the dependent variable?

Question 3

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In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?

Question 4

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There are a couple of different types of classification tasks in machine learning, Choose the Correct Classification which best categorized the below Application Tasks in Machine learning? * To det

Question 5

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Which of the following method is used for multiclass classification?

Question 6

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Which ones are the key actions in the data collection phase of Machine learning included?

Question 7

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Which ones are the type of visualization used for Data exploration in Data Science?

Question 8

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Which one is not the feature engineering techniques used in ML data science world?

Question 9

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Skewness of Normal distribution is ___________

Question 10

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What is the formula for measuring skewness in a dataset?

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Consider a data frame df with 10 rows and index [ 'r1', 'r2', 'r3', 'row4', 'row5', 'row6', 'r7', 'r8', 'r9', 'row10']. What does the aggregate method shown in below code do? g = df.groupby(df.index.str.len()) g.aggregate({'A':len, 'B':np.sum})

Which one is not the feature engineering techniques used in ML data science world?

Mark the incorrect statement regarding usage of Snowflake Stream & Tasks?

Which type of Python UDFs let you define Python functions that receive batches of input rows as Pandas DataFrames and return batches of results as Pandas arrays or Series?

Which Python method can be used to Remove duplicates by Data scientist?

Skewness of Normal distribution is ___________

Question 27 - DSA-C02 discussion

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Which Python method can be used to Remove duplicates by Data scientist?

A.

remove_duplicates()

B.

duplicates()

C.

drop_duplicates()

D.

clean_duplicates()

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asked 23/09/2024

Nicola Grossi

38 questions

User

Your answer: A B C D

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