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machine learning itamp;#39;s incredibly powerful and as a data scientist youamp;#39;ll 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 itamp;#39;s really easy to train a machine learning model but itamp;#39;s also really easy to mess things up before you really get started as a data scientist iamp;#39;m surprised how often i come across projects that are set up for failure just because they havenamp;#39;t set up cross validation correctly and thatamp;#39;s why in todayamp;#39;s video weamp;#39;re going to be talking all about cross validation and how important it is and trust me as i say this as someone whoamp;#39;s 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 iamp;#39;d even go as far as to say that cross-validation is even more important than th
