5.4 - Encoding Categorical Data
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Practice Questions
Test your understanding with targeted questions
What is the main purpose of encoding categorical data?
💡 Hint: Think about what type of data machine learning algorithms work best with.
Can you explain OneHotEncoding?
💡 Hint: Remember how categories are transformed into separate columns.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is OneHotEncoding used for?
💡 Hint: Think about how categories are represented in a dataset.
True or False: LabelEncoding is always the best choice for categorical variables.
💡 Hint: Consider the nature of the data you are encoding.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Suppose you have a dataset containing countries and a product rating ('Good', 'Average', 'Bad'). Outline an approach for encoding this dataset to prepare it for a machine learning model.
💡 Hint: Consider the nature of the ratings and how they should influence model training.
Given a dataset of survey responses including 'Yes', 'Sometimes', 'No' as answers, suggest an encoding strategy that maintains the options’ intrinsic order while encoding them for a model.
💡 Hint: Think about how to maintain the order when encoding.
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