What is NOT a benefit of data scaling? Group of answer choicesData scaling reduces the chance of mistakes.Data scaling can make the visualisation of the data more sensible and tidy.Data scaling can help to make further calculations more efficient.Scaling can help to mitigate the effect of outliers in the data.If your features have different units or scales, it can be challenging to interpret the overall effect of each feature on an outcome variable. Data scaling helps with this.

What is Data Scaling?

What is the purpose of feature scaling in machine learning?Question 10Answera.To remove outliers from the datab.To standardize the range of featuresc.To increase the complexity of modelsd.To decrease the dimensionality of features

Which of the following are benefits of a database (more than one answer)?Group of answer choicesDatabases can be set up and managed without human interventionDatabases enforce standards relating to data qualityDatabases minimise redundancyDatabases can reduce application development and maintenance costs

Problem statementSend feedbackYou have been provided with a customer dataset:Why do you think there is a need to do feature scaling in this dataset?

What is the primary purpose of scaling out in NoSQL databases? Question 10Select one: To limit data access To reduce hardware costs To improve system response time To increase data complexity