Practice Log Transformation - 2.3.2 | 2. Data Wrangling and Feature Engineering | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is log transformation?

πŸ’‘ Hint: Think about how we handle skewed data.

Question 2

Easy

Name one type of data that can benefit from log transformation.

πŸ’‘ Hint: Consider data that has extreme values.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the purpose of log transformation?

  • To increase data volume
  • To compress skewed data
  • To eliminate outliers

πŸ’‘ Hint: Think about the characteristics of the data you're handling.

Question 2

True or False: Log transformation can be applied to negative values.

  • True
  • False

πŸ’‘ Hint: Consider the properties of logarithmic functions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a dataset of house prices that are heavily skewed. Explain how you would apply log transformation and what the expected outcome would be on your regression analysis.

πŸ’‘ Hint: Think about how you would represent price changes to clients.

Question 2

You encounter a dataset with many zero and negative values. How would you handle the log transformation in such a scenario?

πŸ’‘ Hint: Consider what happens to logs of zero and negative numbers.

Challenge and get performance evaluation