Databricks-Certified-Professional-Data-Scientist 試験問題を無料オンラインアクセス

You are working on a problem where you have to predict whether the claim is done valid or not. And you find that most of the claims which are having spelling errors as well as corrections in the manually filled claim forms compare to the honest claims. Which of the following technique is suitable to find out whether the claim is valid or not?

• A.Naive Bayes
• B.Logistic Regression
• C.Random Decision Forests
• D.Any one of the above

Find out the classifier which assumes independence among all its features?

• A.Naive Bayes
• B.Neural networks
• C.Linear Regression
• D.Random forests

You are working on a Data Science project and during the project you have been gibe a responsibility to interview all the stakeholders in the project. In which phase of the project you are?

• A.Creating visuals from the outcome
• B.Executing Models
• C.Creating Models
• D.Operationnalise the models
• E.Data Preparations
• F.Discovery

Spam filtering of the emails is an example of

• A.Supervised learning
• B.Unsupervised learning
• C.Clustering
• D.1 and 3 are correct
• E.2 and 3 are correct

RMSE is a good measure of accuracy, but only to compare forecasting errors of different models for a______, as it is scale-dependent.

• A.All of the above are correct
• B.Among all the variables
• C.Between Variables
• D.Particular Variable