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<speak> So, these are all the column names that are in the data frame.<break strength="x-strong"/> Now, let's check the information about any missing values.<break strength="x-strong"/> Or data types so all of these are in string values. <break strength="x-strong"/>The thing is machine learning models don't take data in string format. <break strength="x-strong"/>We need to convert these things into numbers. <break strength="x-strong"/>So we will do that.<break strength="x-strong"/> Let's check more information about the data set.<break strength="x-strong"/> Here, we have 2671 count.<break strength="x-strong"/> And we have 11 unique airlines.<break strength="x-strong"/> The top airline is Jet Airways.<break strength="x-strong"/> And the frequency 897.<break strength="x-strong"/> And we have Date of Journey, Source, Destination, Route, so this is the top data point. <break strength="x-strong"/> Now let's check the null values. <break strength="x-strong"/>How many null values we have? <break strength="x-strong"/>so if we have True that means we have null value.<break strength="x-strong"/> Let’s check the total sum of null values.<break strength="x-strong"/> Let's run the cell.<break strength="x-strong"/> so we have zero null values. <break strength="x-strong"/> We don't have any null value. <break strength="x-strong"/> <break strength="x-strong"/> </speak>