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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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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?

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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 38 - DSA-C02 discussion

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Which one is not Types of Feature Scaling?

A.

Economy Scaling

B.

Min-Max Scaling

C.

Standard Scaling

D.

Robust Scaling

Show Answer

asked 23/09/2024

William Macy

55 questions

User

Your answer: A B C D

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