How do I handle null values in my dataset?
An example of an AI chatbot conversation about handling null values in data.
How do I handle null values in my dataset?
Handling null values can be done in several ways, such as removing them, imputing values, or using algorithms that support them.
What are the pros and cons of removing null values?
Removing null values can simplify analysis but may lead to loss of important data and bias in results.
What is data imputation?
Data imputation is the process of replacing null values with substituted values, like the mean or median of the dataset.
Are there specific algorithms that can handle null values?
Yes, some algorithms like decision trees and random forests can handle null values without requiring imputation.
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