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.

About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.

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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!

thiyagarajansrinivasan
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Thanks for the explanation, your'e better and much more clearer than my university lecturer

tayyangshun
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Wow! That's so crisp & clear explanation, to the point! I really appreciate your simplicity, that's your power. Thanks!

yashvd
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Can you show us the tree visually using plot or graphviz .just want to see the values in decision tree node and interpret decision rules

kasturipal
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Using sklearn is very easy. Try from scratch

fakhriddinmakhmadiyorov
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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 :D

ollysalanson
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Thank you so much for this great video!!!!

binalieravinga
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Great lecture. Please where is the next video? I searched your page

Lilian.Chidinma.Nwafor
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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...

manideepgupta
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This was a great video....Also make a video on how to increase the accuracy of the decision tree by hyper parameter tuning...That would be forward to that video

sehataurswaad
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Great explanation, thanks for the video

BSSPR
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Hello sir, thanks for such a wonderful video. are you a data scientist?

fyune
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Accidentally I encoded one column I need to decode it. I mean I want to convert numbers to label. Is it possible? If possible how?

sree
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Please explain, what does it mean random state=324 and random state=0

sharmisthadas
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Thanks for the video please share some videos related to signature based intrusion detection

Firebird-
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while running
humidity_classifier.fit(X_train, y_train) command
i am facing this error
AttributeError: 'DecisionTreeClassifier' object has no attribute '_validate_data'
Could you help me out

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

harini
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hi sir, i want this dataset which you explained in this video sir

korlajayanthirgukt
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hi i need help with a project..
n how to read a .data file n covert to .csv file

AnniesMagicalSansaar
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Can you provide us with the dataset you used in this video?

fp-mirzariyasatali