Practice Dataset Example (6.3) - Chapter 6: Supervised Learning

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6 sample questions

Question 1.
What are the columns in the created dataset?
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Think about the type of data we are analyzing.
Question 2.
How do we create a dataset in Python?
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Recall the pandas library and its DataFrame function.
3Question 3.
What is the dependent variable in the dataset?
- Experience
- Salary
- Both
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Look at what we want to predict.
4Question 4.
True or False: The dataset consists of two columns: Experience and Salary.
- True
- False
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Recap on the definitions we established for our dataset.
Question 5.
Consider the following additional data: (6, 65000). How would this new data point potentially affect the slope of the linear regression line you would create?
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Think about how adding higher data points may change our predictions.
Question 6.
Propose a method to check for anomalies in this dataset before training a model. How would you design a simple test?
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Consider the first step before analyzing data visually.

4 more questions in this section. Enroll free to practise them all.