u r literally god of data science, I mean finding all these tools and making separate videos for each one of them and then explaining it all with such ease and patience. I'm just deeply in gratitude!! Thanks a lot
Sir I HAVE ONE REQUEST PLEASE UPLOAD A SINGLE UPDATED VIDEO OF THIS TOPIC BECAUSE MANY THINGS CHANGE NOW IN CODE WHICH MAKE IT DIFFICULT TO UNDERSTAND PLEASE SIR ITS A REQUEST🙏
Big Bro teaching on board, precise concepts, clear and intuitive. But over the time when video starts using S Pen and that orange background shows up is like Ferrari fueled up.
Hi, thanks for this video. but I do find that the data `Cars.csv` is missing here, so we cannot reproduce your results, especially for the fancy 3-D regression tree! =) Can you also provide that! thanks a lot
Hello Sir, when I'm running the following code, it is showing " name 'dtreeviz' is not defined viz= dtreeviz(clf, X_train, y_train, feature_names=iris.feature_names, class_names=["setosa", "versicolor", "virginica"])
Syntex have changed now you should import dtreeviz then write viz=dtreeviz.model(model, xtrain, Ytrain, feature_name,) Then viz.view() But scale is not working i dont know why And in google colab getting arial family error
@@divyanshusharma4576 import pandas as pd from sklearn.tree import DecisionTreeClassifier import dtreeviz from dtreeviz.trees import * from IPython.display import Image, display_svg, SVG # Visualize the decision tree using dtreeviz viz = dtreeviz.model(clf, x_train, y_train, target_name='Outcome', # Replace 'Outcome' with the name of your target variable feature_names=x_train.columns, class_names=['no','yes'] ) viz.view() my this code worked
@@divyanshusharma4576 Bro, I have been trying for the past 1 hour, to check official documentation, Google BARD, and ChatGPT, But no one has solved the error! Thanks, man! Thank you!
u r literally god of data science, I mean finding all these tools and making separate videos for each one of them and then explaining it all with such ease and patience. I'm just deeply in gratitude!!
Thanks a lot
This one is wonderful sir. Thank you so much for this whole course.
Thanku so much sir n campus x for sharing a wonderful n informative video. It was very interesting n awsome video.
Sir I HAVE ONE REQUEST PLEASE UPLOAD A SINGLE UPDATED VIDEO OF THIS TOPIC BECAUSE MANY THINGS CHANGE NOW IN CODE WHICH MAKE IT DIFFICULT TO UNDERSTAND PLEASE SIR ITS A REQUEST🙏
Thanks sir for such amazing video....
Thank You Sir.
Hello Sir, XGBoost is not included in playlist, could you please make a video on XGBoost ?
Amazing Nitish!!
Big Bro teaching on board, precise concepts, clear and intuitive. But over the time when video starts using S Pen and that orange background shows up is like Ferrari fueled up.
Awesome
it's bombarding
Thanks sir
excellent
Getting this error whenever i try to run viz = dtreeviz.model(...)..
TypeError: 'int' object is not subscriptable
no idea how to resolve it
u r best
Hi, thanks for this video.
but I do find that the data `Cars.csv` is missing here, so we cannot reproduce your results, especially for the fancy 3-D regression tree! =) Can you also provide that!
thanks a lot
i think it can be done for iris dataset
thanks sir
:)
perfect viz
Sir all other points were clear...but didn't find much clarity in decision tree here...the topic is not clear yet.
best
Hello Sir, when I'm running the following code, it is showing " name 'dtreeviz' is not defined
viz= dtreeviz(clf,
X_train,
y_train,
feature_names=iris.feature_names,
class_names=["setosa", "versicolor", "virginica"])
I am facing the same issue. Could you resolve it?
Syntex have changed now you should import dtreeviz then write viz=dtreeviz.model(model,
xtrain,
Ytrain,
feature_name,)
Then viz.view()
But scale is not working i dont know why
And in google colab getting arial family error
try to install library first some library won't be in colab
@@divyanshusharma4576
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
import dtreeviz
from dtreeviz.trees import *
from IPython.display import Image, display_svg, SVG
# Visualize the decision tree using dtreeviz
viz = dtreeviz.model(clf,
x_train,
y_train,
target_name='Outcome', # Replace 'Outcome' with the name of your target variable
feature_names=x_train.columns,
class_names=['no','yes']
)
viz.view()
my this code worked
@@divyanshusharma4576 Bro, I have been trying for the past 1 hour, to check official documentation, Google BARD, and ChatGPT, But no one has solved the error! Thanks, man! Thank you!