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Which one is not the feature engineering techniques used in ML data science world?
Which one is not the feature engineering techniques used in ML data science world?A . ImputationB . BinningC . One hot encodingD . StatisticalView AnswerAnswer: D Explanation: Feature engineering is the pre-processing step of machine learning, which is used to transform raw data into features that can be used for...
How much output variable will change?
In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?A . by 1B . no changeC . by interceptD . by its slopeView AnswerAnswer: D Explanation: What is linear regression? Linear regression analysis is used to...
Skewness of Normal distribution is ___________
Skewness of Normal distribution is ___________A . NegativeB . PositiveC . 0D . UndefinedView AnswerAnswer: C Explanation: Since the normal curve is symmetric about its mean, its skewness is zero. This is a theoretical explanation for mathematical proofs, you can refer to books or websites that speak on the same...
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?A . Reader accounts (formerly known as “read-only accounts”) provide a quick, easy, and cost-effective way to share data without requiring the consumer to become a Snowflake customer.B . Each...
Which are the following additional Metadata columns Stream contains that could be used for creating Efficient Data science Pipelines & helps in transforming only the New/Modified data only?
Which are the following additional Metadata columns Stream contains that could be used for creating Efficient Data science Pipelines & helps in transforming only the New/Modified data only?A . METADATA$ACTIONB . METADATA$FILE_IDC . METADATA$ISUPDATED . METADATA$DELETEE . METADATA$ROW_IDView AnswerAnswer: A, C, E Explanation: A stream stores an offset for the...
Which object records data manipulation language (DML) changes made to tables, including inserts, updates, and deletes, as well as metadata about each change, so that actions can be taken using the changed data of Data Science Pipelines?
Which object records data manipulation language (DML) changes made to tables, including inserts, updates, and deletes, as well as metadata about each change, so that actions can be taken using the changed data of Data Science Pipelines?A . TaskB . Dynamic tablesC . StreamD . TagsE . DeltaF . OFFSETView...
Which of the following method is used for multiclass classification?
Which of the following method is used for multiclass classification?A . one vs restB . loocvC . all vs oneD . one vs anotherView AnswerAnswer: A Explanation: Binary vs. Multi-Class Classification Classification problems are common in machine learning. In most cases, developers prefer using a supervised machine-learning approach to predict...
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?A . Reader accounts (formerly known as “read-only accounts”) provide a quick, easy, and cost-effective way to share data without requiring the consumer to become a Snowflake customer.B . Each...
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?A . Reader accounts (formerly known as “read-only accounts”) provide a quick, easy, and cost-effective way to share data without requiring the consumer to become a Snowflake customer.B . Each...
Which one is not the feature engineering techniques used in ML data science world?
Which one is not the feature engineering techniques used in ML data science world?A . ImputationB . BinningC . One hot encodingD . StatisticalView AnswerAnswer: D Explanation: Feature engineering is the pre-processing step of machine learning, which is used to transform raw data into features that can be used for...
