How do I preprocess my machine learning dataset?
Preprocessing involves cleaning, transforming, and organizing your data. What specific steps do you need help with?
I need to handle missing values and normalize the data.
For missing values, you can either remove them or fill them using techniques like mean or median imputation. Normalization can be done using Min-Max scaling or Z-score standardization. Which one would you prefer?
I think Min-Max scaling would be best for my data.
Great choice! Min-Max scaling transforms your data to a range between 0 and 1. Would you like a code example for that?
Yes, please provide a code example!
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