Good explanation in general, especially that this topic is difficult. But can you suggest where I could learn more about making post-pruning decision trees.
parameterize the 50% shot according to most-critical parameter analysis and so-on down. You can scale any intangible parameter on scaled- preferences (e.g. vmuch yes don't-know no never). The 25%25% shots are review- and revolt-.
I‘m pretty fortunate to meet with your channel.
I'm so glad I found you!!! you remind me of PatrickJMT but for data science!
I'm also glad I found you, dunno who PatrickJMT is, but thank you a lot, cheers!
Amazing and clear explanation. Thank you!!
You're very welcome!
I just can't get where the 56% and 63% comes in... I am getting lost there
Excellent videos. Can you cover impurity measures, and the intuition behind them?
Great suggestion!
Thank you for simple explanation.
It really helps. Thanks a lot. Clear explanation!
How do you get the 59.4%
You have the best videos I have found on RUclips !
Please make a post prune video. Thanks!
thumbs up
Thank you. Very informative video. I am looking forward for the post-pruning video.
Really simple explanation. Would've been more helpful if you spoke a little about the hyperparameters that lead to such pruning.
Good explanation in general, especially that this topic is difficult. But can you suggest where I could learn more about making post-pruning decision trees.
Your "7 salmon" looks like a Not salmon :)
A big thanks!
You're welcome!
so good!!
@ritvikmath please provide with a solution
I got 59 percent, not 59.2 percent :(
What salmon what tuna?
Thank u so much por this video.
Most welcome 😊
AWESOME!!! I'm looking forward for the post pruning video!!
Amazingly explained!
Keep up the good work.
Thanks mate!
Very good explanation.... This concept now is very clear for me. Thanks a lot!! :)
Worth subscribing this channel, Thanks for the wonderful tutorial
Love the Channel
Thank you! Very simple handwriting notes and clear explanation.
Hi, I think there is a calculation mistake. It is not 59.2 but 56 % please check it.
I think there is a typing mistake in your comment. It is not 56% but 59% please check it.
Keep up the great work, one of the best Yt channels out there
Wow, thanks!
Please get back AS SOON as Possible.!!!!!!!!!!!!!!!!!!!!!
I don't even know the fish specifics but it renders the model pretty well. Specifying leaf-note rationale as a graduated-axiom enthuses me.
parameterize the 50% shot according to most-critical parameter analysis and so-on down. You can scale any intangible parameter on scaled- preferences (e.g. vmuch yes don't-know no never). The 25%25% shots are review- and revolt-.