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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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Related questions

To return the contents of a DataFrame as a Pandas DataFrame, Which of the following method can be used in SnowPark API?

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?

You are training a binary classification model to support admission approval decisions for a college degree program. How can you evaluate if the model is fair, and doesn't discriminate based on ethnicity?

Which metric is not used for evaluating classification models?

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 of the following is a Python-based web application framework for visualizing data and analyzing results in a more efficient and flexible way?

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

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

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

Question 12 - DSA-C02 discussion

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What Can Snowflake Data Scientist do in the Snowflake Marketplace as Consumer?

A.

Discover and test third-party data sources.

B.

Receive frictionless access to raw data products from vendors.

C.

Combine new datasets with your existing data in Snowflake to derive new business in-sights.

D.

Use the business intelligence (BI)/ML/Deep learning tools of her choice.

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asked 23/09/2024

Louis Reeves

44 questions

User

Your answer: A B C D

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