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hello everyone and welcome to introduction to our part 16 dealing with dates so in the last two lessons we learned various techniques for pre-processing text data and numeric data but many datasets also contain dates and date times which you canamp;#39;t treat as either strings or numeric data you have to treat them as their own thing so in this lesson weamp;#39;re going to learn about various techniques for dealing with dates now Iamp;#39;ll start just by reading in some date data that Iamp;#39;ve prepared for this lesson you can see that the data here has four different columns which include dates and different formats and the names of the columns Iamp;#39;ve prepared here tell you the general format of the dates for that column so this first column is called month day year because thatamp;#39;s the format of how the date is so this one is day month year this one is a full date time so it includes both a date and a time signature and the last one is in year month day format thi
