How can I handle missing data in my dataset?
An example of an AI chatbot conversation about handling missing data in datasets.
How can I handle missing data in my dataset?
There are several methods to handle missing data, such as imputation, deletion, or using algorithms that support missing values. What type of dataset are you working with?
I'm working with a customer survey dataset, and some responses are missing.
For survey data, you might consider imputation methods like mean, median, or mode substitution. Alternatively, you could use predictive modeling to estimate missing values. Have you tried any of these methods?
Not yet, I'm not sure how to implement them.
I can help with that! Would you like to start with mean imputation or explore predictive modeling techniques?
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