Тест: L1. The Analytical Problem.
Список вопросов
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1. A data mining process model that describes commonly used approaches that data mining experts use to tackle problems... it was the leading methodology used by industry data miners." – it’s |
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| 1) CRISP-DM | |
| 2) Eisenhower Matrix | |
| 3) A/B test | |
| 4) Alterix | |
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2. CRISP-DM ("Problem Solving Framework") is made up of steps: 1. Business Issue Understanding 2. Data Understanding 3. Data Preparation 4. Analysis/Modeling 5. ________________ 6. Presentation/Visualization. Choose correct answer for #5 |
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| 1) Validation | |
| 2) Additional data | |
| 3) Predictive analysis | |
| 4) CRISP-DM is made up of 5 steps | |
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3. On the first step “Business issue Understanding” one of the main questions is: |
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| 1) Why I must solve it? | |
| 2) When we will have the break? | |
| 3) What decisions needs to be made? | |
| 4) What method of analysis I must choose? | |
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4. Gathering, Cleansing, Formatting, Blending and Sampling the data: these actions are characteristic of the stage ____________ |
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| 1) Predictive analysis | |
| 2) Data Understanding | |
| 3) Analysis/Modeling | |
| 4) Data Preparation | |
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5. 4. The _______________ phase starts with an initial data collection and proceeds with activities in order to get familiar with the data, to identify data quality problems, to discover first insights into the data, or to detect interesting subsets to form hypotheses for hidden information. |
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| 1) Analysis/Modeling | |
| 2) Data Preparation | |
| 3) Data Understanding | |
| 4) Business Issue Understanding | |
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6. What cannot be attributed to Presentation/Visualization phase: |
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| 1) Make sure the amount of information shared is not overwhelming | |
| 2) Determine the best method of presenting insights | |
| 3) Alwaysreference the data sources used | |
| 4) Ensure the results make sense within the content of the business problem | |
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7. Running the model that helps to solve the problem occurs at the ___________ phase |
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| 1) Analysis/Modeling | |
| 2) Validation | |
| 3) Predictive analysis | |
| 4) Presentation/Visualization | |