title: how to handle the missing values like this and date format for regression?
body: <p>I want to make the regression model from this dataset(first two are dependent variable and last one is dependent variable).I have import dataset using <code>dataset=pd.read_csv('data.csv')</code>
  Now I have made model previously also but never have done with date format dataset as independent variable so how should we handle these date format to make the regression model.
  also how should we handle 0 value data in given dataset.
  My dataset is like:in .csv format:</p>
  
  <pre><code>Month/Day, Sales, Revenue
  01/01    ,  0    , 0
  01/02    , 100000, 0
  01/03    , 400000, 0
  01/06    ,300000, 0
  01/07    ,950000, 1000000
  01/08    ,10000,  15000
  01/10    ,909000, 1000000
  01/30    ,12200,  12000
  02/01   ,950000,  1000000
  02/09     ,10000, 15000
  02/13    ,909000, 1000000
  02/15    ,12200,  12000
  </code></pre>
  
  <p>I don't know to handle this format date and 0 value</p>