title: datatypes in macgien learning
body: <p>I have table with different datatypes. Some of my columns are :</p>
  
  <p>name, time, date, number_of_files, hour_works, type_of_job</p>
  
  <p>Jack, 10:24:54, 2015-02-15, 82, 20, project manager
  ….etc</p>
  
  <p>I want to train these features to predict type_of_job in the company by using a randomforest model.
  My question is should I convert the columns to specific datatypes to get good accuracy and what about time and data? I have around 48970 rows and this is first time I work with machine learning.</p>