How can I handle missing values in my dataset?
An example of an AI chatbot conversation about imputing missing values in datasets.
How can I handle missing values in my dataset?
You can handle missing values by using techniques like imputation, deletion, or using algorithms that support missing values.
What is imputation, and how does it work?
Imputation is the process of replacing missing data with substituted values. Common methods include mean, median, or mode imputation.
Are there any advanced techniques for imputation?
Yes, advanced techniques include K-Nearest Neighbors (KNN) imputation, regression imputation, and multiple imputation.
How do I choose the best method for my data?
Choosing the best method depends on the nature of your data, the amount of missingness, and the underlying distribution.
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