Collinearity and Removing Redundancies [DoorDash Data Science Project]

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  • เผยแพร่เมื่อ 7 พ.ย. 2024

ความคิดเห็น • 8

  • @SP-db6sh
    @SP-db6sh ปีที่แล้ว +3

    Post a video on
    1.hyperparameter tuning &
    2. model retraining based upon checking the explanation of model predictions with Shap.
    Soon people will start taking subscription from Strata scratch.

    • @stratascratch
      @stratascratch  ปีที่แล้ว

      Thanks for the suggestions. We plan on releasing more data projects videos and will try to find projects that have these 2 components.

  • @VV-gu9bd
    @VV-gu9bd 11 หลายเดือนก่อน +1

    Hi, I understand removing items with high corr coef but why say those with a coeff of .33 as correlated? Isn't it only low correlations

  • @emmanuelczarpascua6721
    @emmanuelczarpascua6721 ปีที่แล้ว +1

    Thank you for this.

    • @stratascratch
      @stratascratch  ปีที่แล้ว

      Thank you for watching! Parts 3 and 4 will come out next week!

  • @sanket_a2033
    @sanket_a2033 ปีที่แล้ว

    Thank You.

  • @AustinMcCollum-j2t
    @AustinMcCollum-j2t ปีที่แล้ว

    When creating dummy variables using get_dummies, why was one dummy variable not dropped? (using drop_first or choosing a specific column to drop)

    • @stratascratch
      @stratascratch  ปีที่แล้ว

      Hey, I don't understand. Which dummy variable was not dropped that you felt should be?