what is data science ibm coursera week 2 answers

Data Mining

1. Prior Variable Analysis and Principal Component Analysis are both examples of a data reduction algorithm.

  • False.
  • True.

2. After the data are appropriately processed, transformed, and stored, what is a good starting point for data mining?

  • Machine learning.
  • Creating a relational database.
  • Non-parametric methods.
  • Data Visualization.

3. In-sample forecast is the process of formally evaluating the predictive capabilities of the models developed using observed data to see how effective the algorithms are in reproducing data.

  • True
  • False

Regression

4. Regression is a statistical technique developed by Blaise Pascal.

  • True.
  • False.

5. The author discovered that, all else being equal, houses located less than 5 kms but more than 2.5 kms to shopping centres sold for more than the rest.

  • False.
  • True.

6. "What are typical land taxes in a house sale?" is a question that can be put to regression analysis.

  • False
  • True

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