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Income Classification Using Adult Census Data Form

Income Classification Using Adult Census Data Form

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today i will be explaining how to create a machine learning model for income classification so i'll start off by importing the necessary modules i'll input numpy pandas seaborn and matplotlib for visualization warnings to ignore any warnings that we might encounter next i'll create a data frame by importing the data set pd.read underscore csv and the name of the file which is adult dot csv now using the dot head function i'll show the first file rows and the columns of the data set using the dot shape attribute i'll find the number of data points so it's a two dimension array with 32 561 points in 15 columns using the dot info function i'll get the name of the columns with the number of null counts and the data type of each column so here we see that there isn't any null value but upon looking at the data set we can see that certain columns contain a question mark so these must be converted into nan so now i will encode these question marks as nan values so this will take all the colum

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