Feature Selection In Machine Learning | Feature Selection Techniques With Examples | Simplilearn

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  • เผยแพร่เมื่อ 4 ก.ค. 2024
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    In Machine Learning, not all the data you collect is useful for analysis. In this video, you will learn about Feature Selection. You will understand the need for feature selection and what is feature selection. You will look at the various feature selection methods and get an idea about feature selection statistics. Finally, you will learn how to select features using a dataset and perform analysis in Python.
    00:00:00 What's in it for you
    00:00:32 Need for feature selection
    00:01:53 What is Feature selection
    00:02:55 Feature selection method
    00:07:16 Feature selection stats
    00:08:06 Demo
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ความคิดเห็น • 14

  • @SimplilearnOfficial
    @SimplilearnOfficial  3 ปีที่แล้ว +5

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  • @NiravS14
    @NiravS14 2 ปีที่แล้ว +8

    This video was great as it provided a demo of how one of the methods works while selecting features.
    I see that the features you were left within your demo were a combination of categorical and numeric/continuous features.
    I have a couple of questions on this point;
    a) Will you be applying any further feature selection techniques to the features you had remaining following the filter method demo so that you have the most relevant features that have a high importance score and/or correlation with the output variable before passing them through a few ML classifiers?
    b) What are the feature selection methods used for supervised learning (binary classification) problem where the input features consists of categorical and numeric/continuous data and the class label is either positive-negative and/or 0-1?

  • @KrampuZ_Jhonnys6508
    @KrampuZ_Jhonnys6508 2 ปีที่แล้ว +3

    Great Video! Are there any drawbacks in using Feature Selection?

  • @donharris8846
    @donharris8846 2 ปีที่แล้ว +2

    Chi squared is pronounced - “Ky squared”. Informative video!

    • @SimplilearnOfficial
      @SimplilearnOfficial  2 ปีที่แล้ว

      Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

  • @martinzagari4567
    @martinzagari4567 ปีที่แล้ว +3

    Minutes remaining may be in the period. Seconds remaining may be the shot clock. Maybe shouldn't be added together. Each would provide a different game constraint on the shooter and different information. But good video overall.

    • @SimplilearnOfficial
      @SimplilearnOfficial  ปีที่แล้ว +1

      Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

  • @vishalshukla3299
    @vishalshukla3299 3 ปีที่แล้ว +9

    The file named Kobe Bryant remembered me of his demise😢😢

    • @SimplilearnOfficial
      @SimplilearnOfficial  3 ปีที่แล้ว +3

      Sorry about that.

    • @alexanderfretheim5720
      @alexanderfretheim5720 2 ปีที่แล้ว

      @@SimplilearnOfficial Don't be sorry. Remembering the dead is good. I'm sure he would be honored.

  • @saikiranalagatham3555
    @saikiranalagatham3555 3 ปีที่แล้ว +2

    How can I classify features based on gain ratio?

    • @SimplilearnOfficial
      @SimplilearnOfficial  3 ปีที่แล้ว

      Hi, Simplilearn provides online training across the world. We would be happy to help you regarding this. Please visit us at www.simplilearn.com and drop us a query and we will get back to you! Thanks!

  • @ehanzhang7844
    @ehanzhang7844 ปีที่แล้ว +1

    Can you send me the Kobe_bryant.csv file?

  • @28_seemakumari91
    @28_seemakumari91 ปีที่แล้ว

    Please share ppt 🥹