Very well explained. This is one of the best visual videos that I have seen on RF.
@mehmetselim126214 күн бұрын
I liked your videos keep going on :)
@miltkarr510919 күн бұрын
STFU stooge. Nitrogen is awesome.
@light12620 күн бұрын
please remove the background music. One guy's favorite music is a poison for another guy!
@ikersanchez822221 күн бұрын
What's the optimal way of selecting a quartile threshold when conditioning the split of continuous variables? as in why did you choose the median as a threshold? is it something arbitrary? Great video btw.
@ikersanchez822221 күн бұрын
Mr. ChatGPT told me it's common to calculate the mean of every pair of contiguous values in each continuous variable's scale. Each mean is considered a potential threshold for splitting the data. Apply the Gini formula (or another impurity criterion) to each split, and select the one that results in the purest nodes. That's your optimal threshold.
@jameso144727 күн бұрын
Nitric oxide is available to plants. It's great for life. It only lasts 30 minutes in the atmosphere. All the fear mongering your repeating is garbage.
@ytaah328 күн бұрын
The explanation is good, but the background music is terrible. Not only distracting, but completely out of place. Not sure why they thought it was a good idea. Make videos focusing on content, and remove any background music.
@vivalaletaАй бұрын
Can you address if regenerative ag practices can effect forever chemicals in the environment?
@vivalaletaАй бұрын
Gabe Brown turned us on to regenerative agriculture. Happy to find another voice preaching the facts.
@coderideАй бұрын
Why the hell this irritating background music was needed? a perfect video was ruined.
@ckeong9012Ай бұрын
awesome! May i know how do get the accuracy of 80%?
@jerrypeal6532 ай бұрын
WEF is the time bomb ! Don’t BS people.
@LoremIpsum-xd4vl2 ай бұрын
At 03:42 I was wondering if you were actually applying a `RandomForestRegressor` to a classification problem, but you've obviously corrected that in the Colab notebook linked in the description, and applied a `RandomForestClassifier`. But now I wonder: if `RandomForestClassifier` reaches a score of 0.9446875, and `XGBClassifier` reaches a score of `0.94325` - why would I choose Gradient Boosted Trees?
@dayoutofficial12 ай бұрын
Great Explanation 👌👌
@K-mk6pc2 ай бұрын
Thanks for the Great Content
@sahiljamadar73243 ай бұрын
This is how clean teaching is done. Simple just the model's working in easy terms. Thanks very much!!
@KARAB1NAS3 ай бұрын
how do you compute the derivative? This is Frechet derivative here...
@dhiaromd22283 ай бұрын
but in the google colab document the two models accuracy and the randomforest had a better one ?
@amann81503 ай бұрын
Almost tripped sawing the clip of tree splitting 😭🛐
@amann81503 ай бұрын
Almost tripped sawing the clip of tree splitting 😭🛐
@suduzz3 ай бұрын
one of the most underrated channels - love you guys!!
@kevinope61663 ай бұрын
dios mío, qué buen video :'d
@TC-xk5qh4 ай бұрын
i love you ❤❤❤❤ thank you very much
@Econoscent4 ай бұрын
You're welcome 😊
@andre01jacob5 ай бұрын
great work! such an underrated video (in terms of views)
@Econoscent4 ай бұрын
Much appreciated!
@grabani5 ай бұрын
Hi There! Great set of videos. The best explanation of decision trees and random forest on YT; I plan on going over other content as well. Just a quick one, are there any plans of releasing the Random Forest Coding tutorial referenced in the video (if already available can you point me to it)? Thanks again.
@bl4z3_kanazaki5 ай бұрын
Very clear explanation thank you so much!
@user-mf9jj2fs7v6 ай бұрын
interesting choice of background music, fellers
@SuperYTPmaster2 ай бұрын
god awful
@MrDotManPeriod6 ай бұрын
can you share project file link pls?
@MrDotManPeriod6 ай бұрын
i copied you exactly but i get a straight line with my prediction graph, when yours isnt straight, any ideas?
@urielmenalled79316 ай бұрын
What software did you use to make these animations? They are excellent!
@Econoscent4 ай бұрын
After Effects. Thank you!
@dariusbotusanu33916 ай бұрын
Great explanation but the background music is too loud and unnecessary.
@radyoalmikyel68817 ай бұрын
i do not why but i found the same graph even i add rainfall feature a straight line ???
@ea17667 ай бұрын
nice , simple and short, Well done!
@Econoscent4 ай бұрын
Thank you!
@slendrmusic7 ай бұрын
based
@johnboren56567 ай бұрын
You made a quality video about a topic that needs more coverage. You might consider making sure volume levels during the location shots are matching with the volume levels of the voice over.
@reinerfunden19767 ай бұрын
The music is very distracting
@peterclark62908 ай бұрын
2: I would advise using real science to drop any concerns about CO₂. We are currently at .044%, the death spiral starts at .015% (we were at .224 at one point) and there were highly productive periods of 5,000ppm in the proxy records). It is NOT implicated in Climate Change and neither is CH₄ (methane). In fact adding CO₂ may become an industry when we decide that the deserts have to be re-greened.
@peterclark62908 ай бұрын
When mankind accepts his conflicted dual role as *bright-minded* _destroyer_ and decides which is to be favoured then he may turn to pastoral care of a temporary home on a temporary planet. A massive philosophical challenge. The essence of which is to use this science to restore all the non-arctic deserts to forest or savannah and thus restore the planets natural hydrological, carbon, nutrient... cycles: to feed us and create beauty. Raw nature does this to the human spirit with its infinite complexity creating an apparently timeless life and death struggle. Add in Hans Rosling's observations, Democracy and Adam Smith's market-based capitalism there is a blueprint for concentrating on extracting genius: our sole existential need.
@juandiegoorozco55318 ай бұрын
Amazing, just what i wanted, however the music is a bit distracting, at least for me.
@robertfairburn99798 ай бұрын
Excellent video
@TheMightyWej9 ай бұрын
Great video, so glad I found your channel. Thank you for putting in the effort to provide this content 👍
@davidnassau2310 ай бұрын
Music is distracting and annoying!
@oyusuphgmail10 ай бұрын
Thank you so much, but I was wondering which tokenizer to use in the seq2seq trainer, the one for the input or that for the target? I am trying to use different tokenizers.
@SwatiSharma-ld2yi11 ай бұрын
Nitroxide formula is wrong when you talk about its global warming potential. You have written NO2 while it is N2O
@samwisedonegan11 ай бұрын
Nice video!
@aleefbilal621111 ай бұрын
Thanks, learned a lot. I've got a question though. To train a chat-bot model (like GODEL), how are we going to tokenize it. Like what's going to be input and what's going to be output? P.S: Please keep uploading tutorials like this.
Пікірлер
Very well explained. This is one of the best visual videos that I have seen on RF.
I liked your videos keep going on :)
STFU stooge. Nitrogen is awesome.
please remove the background music. One guy's favorite music is a poison for another guy!
What's the optimal way of selecting a quartile threshold when conditioning the split of continuous variables? as in why did you choose the median as a threshold? is it something arbitrary? Great video btw.
Mr. ChatGPT told me it's common to calculate the mean of every pair of contiguous values in each continuous variable's scale. Each mean is considered a potential threshold for splitting the data. Apply the Gini formula (or another impurity criterion) to each split, and select the one that results in the purest nodes. That's your optimal threshold.
Nitric oxide is available to plants. It's great for life. It only lasts 30 minutes in the atmosphere. All the fear mongering your repeating is garbage.
The explanation is good, but the background music is terrible. Not only distracting, but completely out of place. Not sure why they thought it was a good idea. Make videos focusing on content, and remove any background music.
Can you address if regenerative ag practices can effect forever chemicals in the environment?
Gabe Brown turned us on to regenerative agriculture. Happy to find another voice preaching the facts.
Why the hell this irritating background music was needed? a perfect video was ruined.
awesome! May i know how do get the accuracy of 80%?
WEF is the time bomb ! Don’t BS people.
At 03:42 I was wondering if you were actually applying a `RandomForestRegressor` to a classification problem, but you've obviously corrected that in the Colab notebook linked in the description, and applied a `RandomForestClassifier`. But now I wonder: if `RandomForestClassifier` reaches a score of 0.9446875, and `XGBClassifier` reaches a score of `0.94325` - why would I choose Gradient Boosted Trees?
Great Explanation 👌👌
Thanks for the Great Content
This is how clean teaching is done. Simple just the model's working in easy terms. Thanks very much!!
how do you compute the derivative? This is Frechet derivative here...
but in the google colab document the two models accuracy and the randomforest had a better one ?
Almost tripped sawing the clip of tree splitting 😭🛐
Almost tripped sawing the clip of tree splitting 😭🛐
one of the most underrated channels - love you guys!!
dios mío, qué buen video :'d
i love you ❤❤❤❤ thank you very much
You're welcome 😊
great work! such an underrated video (in terms of views)
Much appreciated!
Hi There! Great set of videos. The best explanation of decision trees and random forest on YT; I plan on going over other content as well. Just a quick one, are there any plans of releasing the Random Forest Coding tutorial referenced in the video (if already available can you point me to it)? Thanks again.
Very clear explanation thank you so much!
interesting choice of background music, fellers
god awful
can you share project file link pls?
i copied you exactly but i get a straight line with my prediction graph, when yours isnt straight, any ideas?
What software did you use to make these animations? They are excellent!
After Effects. Thank you!
Great explanation but the background music is too loud and unnecessary.
i do not why but i found the same graph even i add rainfall feature a straight line ???
nice , simple and short, Well done!
Thank you!
based
You made a quality video about a topic that needs more coverage. You might consider making sure volume levels during the location shots are matching with the volume levels of the voice over.
The music is very distracting
2: I would advise using real science to drop any concerns about CO₂. We are currently at .044%, the death spiral starts at .015% (we were at .224 at one point) and there were highly productive periods of 5,000ppm in the proxy records). It is NOT implicated in Climate Change and neither is CH₄ (methane). In fact adding CO₂ may become an industry when we decide that the deserts have to be re-greened.
When mankind accepts his conflicted dual role as *bright-minded* _destroyer_ and decides which is to be favoured then he may turn to pastoral care of a temporary home on a temporary planet. A massive philosophical challenge. The essence of which is to use this science to restore all the non-arctic deserts to forest or savannah and thus restore the planets natural hydrological, carbon, nutrient... cycles: to feed us and create beauty. Raw nature does this to the human spirit with its infinite complexity creating an apparently timeless life and death struggle. Add in Hans Rosling's observations, Democracy and Adam Smith's market-based capitalism there is a blueprint for concentrating on extracting genius: our sole existential need.
Amazing, just what i wanted, however the music is a bit distracting, at least for me.
Excellent video
Great video, so glad I found your channel. Thank you for putting in the effort to provide this content 👍
Music is distracting and annoying!
Thank you so much, but I was wondering which tokenizer to use in the seq2seq trainer, the one for the input or that for the target? I am trying to use different tokenizers.
Nitroxide formula is wrong when you talk about its global warming potential. You have written NO2 while it is N2O
Nice video!
Thanks, learned a lot. I've got a question though. To train a chat-bot model (like GODEL), how are we going to tokenize it. Like what's going to be input and what's going to be output? P.S: Please keep uploading tutorials like this.
cdn1.byjus.com/wp-content/uploads/2018/07/Intoduction-to-the-Components-of-Air.png
Well done
Not visual, but mathematic notational. Fail to show visually the trade-off in complexity, decision tree depth, and overfitting.