Mahalanobis distance for classification | Machine Learning

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  • Опубликовано: 7 авг 2024
  • See all my videos at www.tilestats.com/
    1. How to use the Mahalanobis distance for classification
    2. Validation (LOOCV and hold-out) (06:08)
    3. Imbalanced data sets (09:35)
    4. Sensitive to outliers (10:14)

Комментарии • 10

  • @nurdamiaiwanizulkiflee6561
    @nurdamiaiwanizulkiflee6561 2 года назад +3

    Thank you so much! I have searched on Mahalanobis everywhere and was still in the dark until I found your video.

  • @discoveryma
    @discoveryma Год назад +1

    thank you for this excellent presentation

  • @nooramiramohdshah6769
    @nooramiramohdshah6769 Год назад +1

    crystal clear!thank youuu👍

  • @user-zh1qq2in1x
    @user-zh1qq2in1x Год назад +1

    Excellent Presentation. Thanks...

  • @elvenkim
    @elvenkim 2 года назад

    excellent presentation, very clear and easy to follow!

  • @divyab592
    @divyab592 Год назад +1

    Thank you so much!Very helpful

  • @francom8337
    @francom8337 Год назад +1

    Thank you so much

  • @ayamoumni3287
    @ayamoumni3287 2 года назад

    THE CODE IN MATLAB PLEASE