Lecture 33- Discriminant Analysis cont.

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  • Опубликовано: 11 сен 2024

Комментарии • 12

  • @prabhupr5670
    @prabhupr5670 5 лет назад +3

    It would have be beneficial if the data set was also provided. so that audience could have hands on experience.

    • @prabhupr5670
      @prabhupr5670 5 лет назад

      @@jogendranayak420 ThankYou So much

  • @abcd12342695
    @abcd12342695 3 года назад

    An excellent one Dr Saab!

  • @maftoumiali4412
    @maftoumiali4412 4 года назад

    You're amizing professor
    thank you for this amazing explication.

  • @matsersilvaworld5224
    @matsersilvaworld5224 Год назад

    Thank you Sir.

  • @Infinity_entity
    @Infinity_entity 4 года назад

    Informative...

  • @akashshrivastava4415
    @akashshrivastava4415 2 года назад

    Can't this dependency or significant variables be identified using factor analysis?

  • @chhiwatpang
    @chhiwatpang 4 года назад

    Very useful presentation. Could you please avail the ppt you have used ?

  • @kanchandatta4668
    @kanchandatta4668 3 года назад

    if there is a mixture of independent variables ( both scale and ordinal) should we standardize first then run Discriminant analysis in SPSS? kindly suggest

  • @KHove
    @KHove 5 лет назад +4

    I propose that you make you videos short. The content presented in this can be covered in 4 short compact videos. For example the differences between D.A and logistic regression could be excluded in the current video. Otherwise you are doing very well.

    • @maftoumiali4412
      @maftoumiali4412 4 года назад

      No, it's nice like this. cause there is more detaills