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I have data having companies details with how many position opened on particular date and their due date.I want to find likelihood of requirement on which particular time/season (if I take month) company requires candidates for which position? Which type of machine learning algorithm should I use? For example,

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From above data I want to find on the month of June 2016 which companies required how many candidates for which positions?

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    $\begingroup$ I propose to close this question as it is not precise enough. If you go into more detail I will withdraw my flag $\endgroup$ – Ferdi Jul 6 '17 at 9:09
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    $\begingroup$ Furthermore you might have a try with a VAR Model or a Kalman Filter or a recurrent neural network. That depends on your data structure. $\endgroup$ – Ferdi Jul 6 '17 at 9:13

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