How can I handle missing values in my dataset using Python?
An example of an AI chatbot conversation about advanced data cleaning techniques in Python.
How can I handle missing values in my dataset using Python?
You can use the pandas library to handle missing values. Functions like fillna() and dropna() are very useful.
What are the differences between fillna() and dropna()?
fillna() replaces missing values with a specified value, while dropna() removes any rows or columns with missing values.
Can I use interpolation to fill missing values?
Yes, you can use the interpolate() method in pandas to fill missing values based on surrounding data.
What if I have categorical data with missing values?
For categorical data, you can use fillna() to replace missing values with the mode or a specific category.
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