How to Win Kaggle Competitions - Competition Master Advice

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  • Опубліковано 22 сер 2024

КОМЕНТАРІ • 30

  • @faisalalsrheed82
    @faisalalsrheed82 2 роки тому +2

    Great job UA-cam recommendation algorithm.
    Interesting interview.
    See you on Kaggle :)

  • @muhtasirimran
    @muhtasirimran 2 роки тому

    This one was almost everything I would ask him.
    Please do more interview like this. Have a nice journey on UA-cam 🖤

  • @nadiahariz3896
    @nadiahariz3896 2 роки тому

    Good job Ghazi and Firas! Looking forward to further collaborations between both of you!

    • @GGLab
      @GGLab  2 роки тому

      Thank you 🙏

  • @spicytuna08
    @spicytuna08 2 роки тому +6

    great interview. sounds very confident. one thing i disagree. big companies cannot do everything. this is where if you find an area of interest that serves a lot of people and expand on it, a big company can knock on your door to buy your biz with millions of dollar. don't be dismayed by his comment on this.

  • @andrews9719
    @andrews9719 2 роки тому +7

    Great video! I am disheartened to hear that Data Science might not exist as a viable profession in 10 years, especially since I am getting my masters in Data Analysis... Maybe you can ask him what Data Scientists should try to transition to so they won't become unemployed, lol.

    • @vivianavargas7031
      @vivianavargas7031 2 роки тому

      Why is it not going to be viable anymore? 😔

    • @vamshiabhilash
      @vamshiabhilash 2 роки тому +9

      It's just a myth don't be fooled

    • @kaiwalyajoshi7788
      @kaiwalyajoshi7788 Рік тому +3

      Try machine learning

    • @AaronWacker
      @AaronWacker Рік тому +1

      Full stack AI dev with huggingface, gradio and streamlit is where its at. Port your notebooks w vscode. AGI is there and data science goes that way since you are ready for prod in 5 minutes with community.

  • @mehdikaroui5386
    @mehdikaroui5386 2 роки тому +1

    Great content thank you and keep it up :D !!

    • @GGLab
      @GGLab  2 роки тому

      ✌🏻❤️

  • @parthverma7089
    @parthverma7089 9 місяців тому +5

    Regarding the training of large datasets, almost all of the Kaggle Competition have very huge dataset, how to deal with this when you cannot afford GPU's?

    • @parthverma7089
      @parthverma7089 7 місяців тому

      @@ritwikghosh5833 could you please suggest me an active competition where the data set is not that huge

    • @manishpatil09
      @manishpatil09 5 місяців тому

      hey, i also do not have a gpu but i use kaggle notebooks,they are very efficient

  • @jackedpotatoe23
    @jackedpotatoe23 2 роки тому

    thx for the insightful video
    keep up the great work

  • @molapokgarose6744
    @molapokgarose6744 Рік тому +6

    I am new to DS, him saying data scientists will be obsolete kinda scares me coz its true

  • @AbdelkaderFourati
    @AbdelkaderFourati Рік тому

    it's interesting, continue in this type of videos

  • @ingluissantana
    @ingluissantana 2 роки тому +1

    great interview!!!!!

  • @phillips66dbd
    @phillips66dbd 2 роки тому

    Uh, great content! Thanks a lot🙏

  • @erdenkalilayev3877
    @erdenkalilayev3877 10 місяців тому

    the future of developers is really scary but we don't know what's gonna happen with acadamics, researchers, i think they gonna be demanded still for a long time, right?

  • @uzammohammed825
    @uzammohammed825 2 роки тому +2

    14.20 best part of the session and the good answer , i said the same to my friends but they wont believe me

  • @shreyasharma6074
    @shreyasharma6074 2 роки тому +1

    Can someone please tell the name of the data augmentation library he mentioned?

  • @midouhibi
    @midouhibi 2 роки тому

    i was waiting for my name to be mentioned 😂😃

    • @GGLab
      @GGLab  2 роки тому

      😂😂

  • @stag_beats
    @stag_beats Рік тому +5

    twensa?

  • @joelwillis2043
    @joelwillis2043 Рік тому +1

    RL is a hacky field. No one cares about the math except some academics.

  • @agoshxyz
    @agoshxyz 2 роки тому +1

    and how to get 100k))