What is one-hot encoding?
An example of an AI chatbot conversation about one-hot encoding in machine learning.
Can you explain what one-hot encoding is?
Sure! One-hot encoding is a technique used to convert categorical variables into a binary matrix.
Why is one-hot encoding important in machine learning?
It's important because it allows algorithms to interpret categorical data without assuming any ordinal relationship.
Can you give me an example of one-hot encoding?
Of course! If you have a color feature with values like 'red', 'green', and 'blue', one-hot encoding would create three binary columns.
What are the limitations of one-hot encoding?
One limitation is that it can lead to a high-dimensional feature space, especially with many categories.
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