Quiz

1. Which of the following is definition of Raw Data? A. Set of Measurement on Recorded Values B. Processed Data C. Easy to use for data analysis D. None of the Mentioned

2. Which of the following technique comes under practical machine learning? A. Decision Tree B. Data Visualisation C. Forecasting D. None of the mentioned

3. ____________ is a multidisciplinary which involves extraction of knowledge from large volumes of data that are structured or unstructured. A. Data Science B. Data Analysis C. Descriptive Analysis D. None of the mentioned

4. Which of the following is definition of Raw Data? A. Set of Measurement on Recorded Values B. Processed Data C. Easy to use for data analysis D. None of the Mentioned

5. Point out the correct statement: A. Machine learning focuses on prediction, based on known properties learned from the training data B. Data Cleaning focuses on prediction, based on known properties learned from the training data. C. Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art D. None of the Mentioned

6. Data has been collected on visitors' viewing habits at a bank's website. Which technique is used to identify pages commonly viewed during the same visit to the website? A. Clustering B. Classification C. Association Rules D. Regression

7. Which of the following testing is concerned with making decisions using data? A. Probability B. Hypothesis C. Casual D. None of the mentioned

8. Pick Lazy Algorithm A. K-Mean B. CNN C. KNN D. RNN

9. Why Machine Learning in Data Science? A. For Visualization B. For Prediction C. For Cleaning D. All the above

10. Which of the following statements are correct about Regression and Correlation? (a) Correlation is a descriptive statistics while Regression is an Inferential Statistics (b) Both correlation and regression are Independent of origin and scale (c) Correlation is a relative measure while Regression is an absolute (d) Correlation is purely random while Regression is Functional