Practice Data Types and Their Implications - 1.4.2 | Module 1: ML Fundamentals & Data Preparation | Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define continuous and discrete numerical data.

πŸ’‘ Hint: Think about measuring vs counting.

Question 2

Easy

What is nominal data? Give an example.

πŸ’‘ Hint: Consider categories without ranks.

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 kind of data can be counted as discrete?

  • Temperature
  • Number of students
  • Height

πŸ’‘ Hint: Think about counting distinct items.

Question 2

True or False: Categorical data can always be ordered.

  • True
  • False

πŸ’‘ Hint: Remember the definition of nominal data.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a dataset with age, income, and favorite color. Explain how you would process this dataset before applying a machine learning model.

πŸ’‘ Hint: Consider all preprocessing steps mentioned.

Question 2

Given a dataset where 40% is missing in a feature, what should be your approach, and why?

πŸ’‘ Hint: Think of the importance of the feature in relation to other variables.

Challenge and get performance evaluation