Build a Machine Learning App From Scratch with Flask & Docker

Поделиться
HTML-код
  • Опубликовано: 2 окт 2024
  • Learn how to build a Machine Learning App in Python with Flask & Docker, with ‪@francescociulla‬.
    Part 2: • Dockerize a Python App...
    Francesco's Twitter: / francescociull4
    Code: github.com/pat...
    Dataset: www.kaggle.com...
    Get my Free NumPy Handbook:
    www.python-eng...
    ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: sourcery.ai/?u... *
    ⭐ Join Our Discord : / discord
    📓 ML Notebooks available on Patreon:
    / patrickloeber
    If you enjoyed this video, please subscribe to the channel:
    ▶️ : / @patloeber
    ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
    🖥️ Website: www.python-eng...
    🐦 Twitter - / patloeber
    ✉️ Newsletter - www.python-eng...
    📸 Instagram - / patloeber
    🦾 Discord: / discord
    ▶️ Subscribe: / @patloeber
    ~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~
    🅿 Patreon - / patrickloeber
    #Python
    ----------------------------------------------------------------------------------------------------------
    This is an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏

Комментарии • 45

  • @francescociulla
    @francescociulla 2 года назад +21

    thank you for having me Patrick🐳🐳🐳🐳

  • @4GENS
    @4GENS 2 года назад +5

    Is the intro one of those things where you come closer to camera after every video, but do it very slightly so we get used to it and not realize the change 🤔🤔

  • @thatinstant
    @thatinstant 2 года назад +2

    You want to send that to production?!?!?!

  • @starfish688
    @starfish688 6 месяцев назад

    May I ask what’s the reason for using a virtual environment here?

  • @eastvalleyreviews24
    @eastvalleyreviews24 2 года назад +2

    why not fast api?

  • @digitalnomad2196
    @digitalnomad2196 Год назад

    great video, where do you get the requirement text file from ?

  • @gj7963
    @gj7963 2 года назад +1

    Just want another one with django.

  • @EmilioGagliardi
    @EmilioGagliardi Год назад

    how do you deal with github file size limits? I can't push the .pickle file to github. I tried to use github LFS but that doesn't work with Free accounts or at least I can't get it working. Thanks kindly.

  • @g.s.3389
    @g.s.3389 2 года назад +1

    can you pass a jpg file to the post method so that you can elaborate in ML object detection? can you do it as next video?

  • @myzel394
    @myzel394 2 года назад

    I just realized you speak German and you recorded this video like 6 months ago one day before christmas eve.... my whole life was a lie :O

  • @Marco-cx6gp
    @Marco-cx6gp 2 года назад +1

    Great video, thanks a lot. I love flask btw.

  • @IbrahimAkar
    @IbrahimAkar 2 года назад +1

    Very informative video. The collaboration was excellent and both videos were clear and concise. Thank you to both engineers.

  • @MrDeyzel
    @MrDeyzel 2 года назад

    Thanks for the video. One suggestion, I think you need a better quality microphone.

  • @digitalnomad2196
    @digitalnomad2196 Год назад

    Is there a more efficient way to create a requirement.text if you have a larger project that requires more dependencies

  • @juliocardenas4485
    @juliocardenas4485 2 года назад +1

    Just what I was looking for !!

  • @theGreenCodeRr
    @theGreenCodeRr 2 года назад +1

    love you guys 💝💝

  • @CodeWithTomi
    @CodeWithTomi 2 года назад +1

    Great video! Nice having francesco on it

    • @patloeber
      @patloeber  2 года назад

      Thanks Tomi!

    • @TheNishi42
      @TheNishi42 2 года назад

      @@patloeber when 2nd video will come.

  • @ronalerquinigoagurto555
    @ronalerquinigoagurto555 Год назад

    Is python used in production in mlops?

  • @scar2080
    @scar2080 2 года назад

    Rockstar from Germany! RESPECT from India. Wow... Please continue your noble service. Knowledge is power,sharing is caring. 🙂❤️❤️❤️

  • @Ldallap
    @Ldallap 2 года назад

    Which editor are you using? Thx for the content

  • @rayyanamir8560
    @rayyanamir8560 2 года назад

    Can you make a complete app with UI

  • @marcosaugusto7381
    @marcosaugusto7381 2 года назад

    Thank you! Your video helped me a lot!

  • @larrykubin5987
    @larrykubin5987 2 года назад +1

    🐶👍

  • @saravanannatarajan6515
    @saravanannatarajan6515 2 года назад +1

    You guys are awesome!! God bless

  • @srvazkez
    @srvazkez 2 года назад

    You are amazing

  • @digigoliath
    @digigoliath 2 года назад

    Awesome!!! TQVM!!

  • @al1rios
    @al1rios 2 года назад

    Great worked

  • @caiyu538
    @caiyu538 2 года назад

    Great

  • @scar2080
    @scar2080 2 года назад

    Hey Mate! Can you make a video this week on how to make a pipeline with sklearn. You need to create a seperate transformer for each functions ( For x transform ) (Y transform ) seperate also include custom preprocessing fns if possible like (Custom data cleaning functions) NLP usecase would be awesome..
    (Binary classifier with calibrated SVM)
    Thanks and gratitude.. ❤️❤️❤️.
    End result one pipeline which includes preprocessing and more

    • @MartyAckerman310
      @MartyAckerman310 2 года назад +1

      For custom functions, you can wrap them in a sklearn.preprocessing.FunctionTransformer() and stick them in a pipeline.

    • @scar2080
      @scar2080 2 года назад

      @@MartyAckerman310 Hey Marty can you make a video? Please ❤️

  • @seeker4430
    @seeker4430 2 года назад +1

    Awesome!

  • @atmismahir
    @atmismahir 2 года назад

    Great video thank you. Out of curiosity; how did you make your terminal show suggestions in a shaded manner?

    • @ericmacharia804
      @ericmacharia804 2 года назад +1

      Hi, you can have this by install oh my zsh then add the zsh-autosuggestions plugin

    • @atmismahir
      @atmismahir 2 года назад

      @@ericmacharia804 thank you :)