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...
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...
What Can Snowflake Data Scientist do in the Snowflake Marketplace as Provider?
What Can Snowflake Data Scientist do in the Snowflake Marketplace as Provider?A . Publish listings for free-to-use datasets to generate interest and new opportunities among the Snowflake customer base.B . Publish listings for datasets that can be customized for the consumer.C . Share live datasets securely and in real-time without...
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...
Secure Data Sharing do not let you share which of the following selected objects in a database in your account with other Snowflake accounts?
Secure Data Sharing do not let you share which of the following selected objects in a database in your account with other Snowflake accounts?A . SequencesB . TablesC . External tablesD . Secure UDFsView AnswerAnswer: A Explanation: Secure Data Sharing lets you share selected objects in a database in your...
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...
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...
What Can Snowflake Data Scientist do in the Snowflake Marketplace as Consumer?
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...
What is the formula for measuring skewness in a dataset?
What is the formula for measuring skewness in a dataset?A . MEAN - MEDIANB . MODE - MEDIANC . (3(MEAN - MEDIAN))/ STANDARD DEVIATIOND . (MEAN - MODE)/ STANDARD DEVIATIONView AnswerAnswer: C Explanation: Since the normal curve is symmetric about its mean, its skewness is zero. This is a theoretical...
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...