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