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[Music] hi guys welcome back to data every day today were looking at a data set of human resources data and basically its a data set of different employees and various attributes about those employees we have a column called terminated or a t-e-r-m-d for short somewhere around here here it is uh which basically says if a an employee was terminated or not and were going to try to predict this column based on all the other features so lets hop into the notebook were going to use a number of different classification models for this task and were going to see which performs best at the end so im using numpy and pandas just to work with the data and then im going to use the train test split function from sklearn and the min max scalar and standard scalar were going to try them out both and see which works best from sk learn as well these are for pre-processing lets go ahead and import those and ill load in the data using pandas.read csv and i want to get the file path to my csv