Machine Learning Model Deployment Using Streamlit

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  • เผยแพร่เมื่อ 18 ม.ค. 2025

ความคิดเห็น • 8

  • @naedeezy8967
    @naedeezy8967 5 หลายเดือนก่อน

    Very short and concise. Thanks so much

  • @sawadogoibrahim8861
    @sawadogoibrahim8861 2 ปีที่แล้ว +1

    Thank you! very good video!

    • @TheOyinbooke
      @TheOyinbooke  2 ปีที่แล้ว

      Glad you found it helpful

  • @simisolaolagunju5590
    @simisolaolagunju5590 2 ปีที่แล้ว

    Thanks.really helpful. Please how do I use tabs in streamlit

  • @Kevin-gz7th
    @Kevin-gz7th 2 ปีที่แล้ว +1

    Hi, Olanrewaju. I've been watching your videos and you have amazing work on your profile. I've tried to follow your videos and I've managed to write up a code to use. I used the streamlit method but I keep getting an error from the software that the xgboost is not installed and even when I use the pip install xgboost I am still getting that error. Would it be possible for me to send you my code and pkl file so you can run it for me on your PC ? thanks a lot

    • @TheOyinbooke
      @TheOyinbooke  2 ปีที่แล้ว

      Hi Kevin, thank you for your comment and word of encouragement.
      Kindly DM on twitter twitter.com/theoyinbooke
      Or LinkedIn LinkedIn.com/in/olanrewaju-oyinbooke

  • @philipokposoytc2698
    @philipokposoytc2698 ปีที่แล้ว

    Thank you so much for this video, please I need help. Each time i run my streamlit and click on the Predict button, I experience this error message:
    ValueError: dtype='numeric' is not compatible with arrays of bytes/strings.Convert your data to numeric values explicitly instead.
    Please i need help, i can share my entire code if you want to.

    • @johndominion
      @johndominion ปีที่แล้ว

      i think you need to create a pipeline that has the model and preprocesses also(you should have converted your data to numeric during preprocesses though)