Time Series | How to Build the SARIMAX and Predict Future Model for Time Series | #6

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  • เผยแพร่เมื่อ 15 พ.ย. 2024

ความคิดเห็น • 12

  • @piyushpathak7311
    @piyushpathak7311 2 ปีที่แล้ว +3

    Awesome playlist please complete this series as soon as possible with good projects..

  • @warnersjustin
    @warnersjustin ปีที่แล้ว +2

    Thank you so much for these series! It is really helpful! My data however requires to be transformed, could you show how you forecast with the transformed data? Thank you so much!

  • @darellelee189
    @darellelee189 3 หลายเดือนก่อน

    Thanks for the good sharing. Understand that there would be a subsequent video to build the model using a transformed stationary data but I could not locate the actual video. Could you advise? Thanks

    • @learnerea
      @learnerea  3 หลายเดือนก่อน +1

      Yes, soon

    • @darellelee189
      @darellelee189 3 หลายเดือนก่อน

      Oh I see. Noted with thanks. 😊

  • @piyushpathak7311
    @piyushpathak7311 2 ปีที่แล้ว

    Please upload next video in this series

  • @yogeshyewale478
    @yogeshyewale478 ปีที่แล้ว

    u messed it when explaning sarimax..bcz in order you gave 1,1,3 and seasonal order 2,1,2,12

    • @learnerea
      @learnerea  ปีที่แล้ว +1

      thanks for noting, would you mind putting the timestamp when you find this, it will be helpful for us to have a look and verify if that's really incorrect or required any explanation

    • @sagarganeshkar6734
      @sagarganeshkar6734 ปีที่แล้ว +1

      ​@@learnerea8:55

    • @sagarganeshkar6734
      @sagarganeshkar6734 ปีที่แล้ว

      ​@@learnereaalso for diff12 acf plot there is gradual decay, wave curve towards zero, in that case can we take q =0 ?.In some courses it mentioned. Pls clarify