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machine learning its incredibly powerful and as a data scientist youll use it all the time you know what they say with great power comes great responsibility with all the open source python packages out there its really easy to train a machine learning model but its also really easy to mess things up before you really get started as a data scientist im surprised how often i come across projects that are set up for failure just because they havent set up cross validation correctly and thats why in todays video were going to be talking all about cross validation and how important it is and trust me as i say this as someone whos trained thousands of machine learning models competed in kaggle competitions and creative machine learning models in production in major companies cross-validation is extremely important id even go as far as to say that cross-validation is even more important than the model that you use itself hi my name is rob im a data scientist and i make videos ab
