machine learning with python understanding data with statistics introduction while working with machine learning projectsusually we ignore two most important parts called mathematics and data it is becausewe know that ml is data driven approach and our ml model will produce only as good or as bad results as the data we provided to it in the previous we discussed how we can upload csv data into our ml projectbut it would be good to understand the data before uploading it we can understand the data by two wayswith statistics and with visualization in this with the help of following python recipeswe are going to understand ml data with statistics looking at raw data the very first recipe is for looking at your raw data it is important to look at raw data because the insight we will get after looking at raw data will boost our chances to better pre-processing as well as handling of data for ml projects following is python script implemented by using head(function of pandas dataframe on pima indians diabetes dataset to look at the first rows to get better understanding of itexample from pandas import read_csv path " :\pima-indians-diabetes csvheadernames ['preg''plas''pres''skin''test''mass''pedi''age''class'data read_csv(pathnames=headernamesprint(data head( )output preg plas pres skin test mass pedi age class