What are some common data coding methods used in data analysis?
Common data coding methods include one-hot encoding, label encoding, and binary encoding. Each serves different purposes.
Can you explain one-hot encoding in more detail?
Sure! One-hot encoding converts categorical variables into a binary matrix, where each category is represented as a vector.
What are the advantages of using one-hot encoding?
It prevents the model from assuming a natural ordering in categorical data and improves model performance.
Are there any drawbacks to one-hot encoding?
Yes, it can lead to high dimensionality, especially with many categories, which may affect model efficiency.
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