I have a dataset like that : | A header | Another header | | -------- | -------------- | | a | {player_1: stat_1,stat_2,stat_3} | | b | {player_2: stat_1,stat_2,stat_3} | | c | {player_3: stat_1,stat_2,stat_3} |

I was wondering if it's possible to train a model on a dataset with dict in column ? I thought of one hot encoding and creating column player_1_stat_1, player_2_stat_2 etc. but I would loose the info that stat_1,stat_2 and stat_3 are linked to one single player each time.


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