Principal Component Analysis (PCA) Explained: Simplify Complex Data for Machine Learning

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  • Опубліковано 14 жов 2024
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    Discover how Principal Component Analysis (PCA) can simplify complex data sets and improve your machine learning models. In this video, we break down PCA, a powerful technique for reducing data dimensions while retaining crucial information. Learn how PCA helps in risk management, data visualization, and noise filtering, and see real-world examples of its applications in finance and healthcare. Whether you're a data scientist or a machine learning enthusiast, this guide will help you understand and apply PCA effectively.
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КОМЕНТАРІ • 18

  • @vitorribeirosa
    @vitorribeirosa 4 місяці тому +3

    Thank you for introducing this topic. I appreciate how your videos provide an overview of various ML methods.
    As a suggestion for future videos, I would like to recommend one covering the principles of Independent Component Analysis (ICA).
    This method has recently been in high demand in my projects.
    Cheers!!!

  • @natan.mendes
    @natan.mendes 3 місяці тому +1

    you saved me in my academy work, thanks! (i'm using it with clustering)

  • @juanhe3430
    @juanhe3430 4 місяці тому +4

    Great Video! I am a ds in a financial institution.

  • @ZirghamIlyas
    @ZirghamIlyas 4 місяці тому +2

    Explanation is fine but if you could come up with a video relying more on visualization of PC1 and PC2 then it would be great. Thanks.

  • @mjacfardk
    @mjacfardk 4 місяці тому +1

    thank you, great topic with easy understanding explanation

  • @ashraf_isb
    @ashraf_isb 4 місяці тому

    thanks for this, awaiting for many more similar to come!

  • @tyrojames9937
    @tyrojames9937 4 місяці тому +2

    INTERESTING.😀👍🏾

  • @Codetutor-DemystifyCoding
    @Codetutor-DemystifyCoding 4 місяці тому

    This sounds a lot like Dimentionality reduction in Unsupervised learning. Newbie here, Is that right?

  • @ishankinger9647
    @ishankinger9647 Місяць тому +1

    how are you writing on the glass?

  • @paolobagares2522
    @paolobagares2522 Місяць тому

    This guy also happens to make superb craft beer!

  • @josephtaanyan6162
    @josephtaanyan6162 2 місяці тому

    can you use pca for likert scale data

  • @mdrehan4all
    @mdrehan4all 4 місяці тому

    👍 from India

  • @ValidatingUsername
    @ValidatingUsername 4 місяці тому +1

    Imagine not understanding neural nets and using Ai or math other people came up with to remove factors that are calculable from other factors 😂

  • @zbady4595
    @zbady4595 14 днів тому

    What’s with all the names in the chat? Is a prof using this video as attendance 😂😅

  • @celiafeconors216
    @celiafeconors216 Місяць тому

    Williams Jose Taylor Jessica Jackson Jose

  • @NancyMendozai
    @NancyMendozai Місяць тому

    Anderson Jeffrey Lewis Richard Harris Donald

  • @FaradayDave-x2s
    @FaradayDave-x2s Місяць тому

    Williams Jessica Williams George Perez Jeffrey

  • @hongyusun5092
    @hongyusun5092 Місяць тому +1

    Please do not use a marker on a glass, the noise is torture