Multiple datasets with unique features but have at least 2 or 3 common features. #4170
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CyberYogi1998
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Using AutoGluon, appreciate suggestions. |
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I have Multiple datasets with unique features ( some datasets have 100+ features, and few have only 7-10 features) but have at least 2 or 3 common features (date, timestamp, label). How to combine them and build multi-class classification model to predict or analyze the target variable or outcome of interest consistently across all datasets? Appreciate any pointers to sample code to study (or watch youtube) and understand. Thank you.
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