Implement Decision Tree in Python using sklearn|Implementing decision tree in python




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Implement Decision Tree in Python using sklearn|Implementing decision tree in python
#DecisionTreeInPython #DataSciencePython #UnfoldDataScience

Hello,
My name is Aman and I am a data scientist.
About this video,
This video is a practical implementation of decision tree in python.
This video explains step wise process of implementing decision tree in Python.
Below questions are answered in this video:
1. How to run decision tree algorithm in python
2.How to apply decision tree using skearn
3.How decision tree is used in python
4.How decision tree works in python.

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Comment List

  • Unfold Data Science
    November 21, 2020

    Very nice

  • Unfold Data Science
    November 21, 2020

    Thank you the explanation, much better than my professor!
    I had a question, I am getting what I think is an error, when I change the max_depth argument in the DecisionTreeClassifier from 1 to None, my accuracy score doesn't change and neither does my .score
    How can I fix this and do you have any idea why it may be happening?

  • Unfold Data Science
    November 21, 2020

    Can you share the code github link please?

  • Unfold Data Science
    November 21, 2020

    https://www.youtube.com/watch?v=ii9tRqu9tHs I suggest these video series

  • Unfold Data Science
    November 21, 2020

    This was very very very very helpful, thank you very much for taking the time to make and upload this video. Greatly appreciated from Brighton, England 😀

  • Unfold Data Science
    November 21, 2020

    Using sklearn is very easy. Try from scratch

  • Unfold Data Science
    November 21, 2020

    amazing video … can you tell me how you decide leaf no to be 10 to avoid overfitting..

  • Unfold Data Science
    November 21, 2020

    Great explanation, thanks for the video

  • Unfold Data Science
    November 21, 2020

    Hi, i was wondering why random_state=324?

    X_train,X_test,y_train,y_test = train_test_split(x,y,test_size=0.33,random_state=324)

  • Unfold Data Science
    November 21, 2020

    very nice explanation!

  • Unfold Data Science
    November 21, 2020

    Thanks for such a great explanation.
    I have a doubt that when I create a object of decisiontreeclassifier the object is created but parameters inside the brackets are not coming..
    Why this is happening. I get only DecisionTreeClassifier ()

  • Unfold Data Science
    November 21, 2020

    do you have a link for the source code and where to download the data?

  • Unfold Data Science
    November 21, 2020

    Thank you, very good explanation. If anyone reads this comment from INDONESIA or wants to see tutorials on Decision Tree topic with Bahasa Indonesia, i also have another good video.
    https://youtu.be/sgnOaSpB5co

    (Ngoding decision tree di python3 + optimasi)

  • Unfold Data Science
    November 21, 2020

    You are not only a great data scientist but also good at teaching a complex concept very easily. Good work Aman! Keep up the good work!

  • Unfold Data Science
    November 21, 2020

    whats should be standard practical accuracy ( min and max ) of a model that usually come in industrial data????

  • Unfold Data Science
    November 21, 2020

    Thank you

  • Unfold Data Science
    November 21, 2020

    nice:)

  • Unfold Data Science
    November 21, 2020

    Excellent explanations!! Can you please make the videos required for data structures which will be used in Data science???? That would be really helpful for even wider range of audience…

  • Unfold Data Science
    November 21, 2020

    Great explanation. please share the notebook & dataset. Thank you

  • Unfold Data Science
    November 21, 2020

    where i find the csv file which u used in this video

  • Unfold Data Science
    November 21, 2020

    very wll explained….very useful

  • Unfold Data Science
    November 21, 2020

    bahut mast karta hai tum aman bhai

  • Unfold Data Science
    November 21, 2020

    This is not implementing a decision tree. This is using the sklearn package to train a decision tree.

  • Unfold Data Science
    November 21, 2020

    bro can u provide data set

  • Unfold Data Science
    November 21, 2020

    Nice video..Can you show how to get the decision tree ?

  • Unfold Data Science
    November 21, 2020

    This is great. Can't explain in rods.
    Also create videos on Deep Learning in Python please.

  • Unfold Data Science
    November 21, 2020

    You're awesome bro.

  • Unfold Data Science
    November 21, 2020

    Good explanation Anna, I have a doubt, to create a model as you explained and write or create model using sklearn is good enough , or do we need to learn to write code from scratch using python ? Could u plz tell me .
    Thanks in advance

  • Unfold Data Science
    November 21, 2020

    Very nice video

  • Unfold Data Science
    November 21, 2020

    Very good aman

  • Unfold Data Science
    November 21, 2020

    Very nice.

  • Unfold Data Science
    November 21, 2020

    Good one Aman.

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