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Data analysis in a health sector data


Network analysis classic datasetsHow can I fill NaN values in a pandas data frame?Can generic data sets be suitable for specific sentiment analysisNumber of rows vs. number of variablesWhich tool should I use for combining this large dataset?what to do if the missing data in one column is based on some value/condition in another column in r?confusing regarding to kmeans clulstering for data correlationRepeated groups of columns in data analysisWhat Machine Learning Algorithm could I use to determine some measure in a date?using neural networks to predict set of charactertics













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I have got about 20000 number of data where it has columns like Age, Sex, Address and final diagnosis. Age is from a day to a 90 year. I am trying to use Ml or analysis but confused. Can anyone help me , what can be done with such data? I don't think predictive modeling can be done if it can be done then how? I am seeking for a help.










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    0












    $begingroup$


    I have got about 20000 number of data where it has columns like Age, Sex, Address and final diagnosis. Age is from a day to a 90 year. I am trying to use Ml or analysis but confused. Can anyone help me , what can be done with such data? I don't think predictive modeling can be done if it can be done then how? I am seeking for a help.










    share|improve this question







    New contributor




    Bbk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      I have got about 20000 number of data where it has columns like Age, Sex, Address and final diagnosis. Age is from a day to a 90 year. I am trying to use Ml or analysis but confused. Can anyone help me , what can be done with such data? I don't think predictive modeling can be done if it can be done then how? I am seeking for a help.










      share|improve this question







      New contributor




      Bbk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I have got about 20000 number of data where it has columns like Age, Sex, Address and final diagnosis. Age is from a day to a 90 year. I am trying to use Ml or analysis but confused. Can anyone help me , what can be done with such data? I don't think predictive modeling can be done if it can be done then how? I am seeking for a help.







      machine-learning python dataset jupyter descriptive-statistics






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