Currently, we have to make two ML models for each data set, although the data differ in one feature (one set has information about hair color, for example, and the other does not have this information, but has information about eye color. It is clear that you can train two models independently for each set of your data . But how to make one model correctly so that both types of data can be submitted to the input?
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