title: Timeseries Prediction - Python
body: <p>I have a data for 8 hours where data is not present in between. For example:
  <a href="https://i.stack.imgur.com/4LNRb.png" rel="nofollow noreferrer">Missing Data</a></p>
  <p>Can we use any of the timeseries forecasting techniques to predict the missing data in between ? If yes, how ?
  As much as I understand we need to historical data to predict or forecast but not aware of the forecasting techniques to predict the missing data in between.<br>
  <b>Note: I am aware of the bfill,ffill and interpolate method.</b></p>