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How to work with two datasets?
Hello everyone, I solve a competition on kagle, the essence of the task is to predict victory in a football match.
There are two datasets:
1) a file with the main characteristics of the match
, it contains the id numbers of the players in each match
2) the characteristics of each player
How to form a training model on two files?
Before that, I always worked with one dataset
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You just need to make one out of two datasets by JOIN-a. In your case, there is a player id and you can supplement the main dataset with information about the composition of the team that played in this particular match. For example, by the player's id , get his place on the field (defender, midfielder, forward, etc.).
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