Look at dataset and analyze it for the following:

Missing data

NULL values

Fields you will need to recode to be useable in your ML algorithm

Nominal data will need to be assigned a numerical label $($one$-$hot encoding$)$

Continuous data can stay as they are unless you identify a need to convert it $($then explain$)$

Fix any of the data issues you identified

Implement a strategy to fix missing data $($fill blanks with mean, media, mode, zero, or drop records$)$state county$\_$name parameter$\_$name AVG$($daily$\_$hazardous$\_$a$$r$\_$pollutants.ar$$thmet$$c$\_$mean$)$ lbw vlbw

prematurestate county$\_$name parameter$\_$name AVG$($daily$\_$hazardous$\_$a$$r$\_$pollutants.ar$$thmet$$c$\_$mean$)$ lbw vlbw

premature

Recode any fields you identified need to be recoded