Linear Regression: OLS, Ridge, Lasso and beyond

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  • Опубликовано: 7 сен 2024
  • #machinelearning #regression
    Linear Regression is considered to be one of the easiest topics in ML. But some concepts are really interesting and deserve a video of their own. Here, I have talked about OLS, Ridge, Lasso and Orthogonal linear regression with the intuitions behind them.
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Комментарии • 3

  • @yexian8329
    @yexian8329 Год назад +1

    Awesome video. Regarding the statement that for every budget constraint, there is a corresponding lambda, I am curious if there is a proof for this.

  • @mooshoomastakilla
    @mooshoomastakilla 3 года назад

    super good video. Good job

  • @sebastianoberti6610
    @sebastianoberti6610 2 года назад

    Hi, amazing explanation! one thing, what about overfitting using orthogonal method? Is it better or worse than Lasso or Ridge? Thanks in advance!

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