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SVM is applicable only for numeric data or can also be for textual data?
SVM can work with textual data also. However you have to train the SVM to classify the text data. It is a usual practice to create a document-term matrix from the text that you have, to make SVM work easily on the data.
Harsha
Who developed Python?
Guido van Rossum
Govind
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Hi, can anyone tell me where I can learn more and be professionally guided on 1-1 basis , on Machine Learning and Deep learning using Python? I already have statistics and programming background
I would first recommend taking some good Linear Algebra course, you would need some intuitive understanding about concepts like linear leas squares, singular value decomposition, normal equations,etc....
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Can anyone help me with the below programs: A) which returns orger summary as a list with 2- tuples. Each tuple consists of the order number and the product of the price per items and the quantity. OUTPUT: [ ('34587',163.8),('98762',284.0),('77226',98.85),('88112',74.97) ]. 10 INR should be increased in the product if the value of the order is smaller than 100.00 INR. OUTPUT: [ ('34587',163.8),('98762',284.0),(77226',108.85),('88112',84.97) ]
Can't solve because product price is a part of the tuple. Since LIST IS MUTABLE so we can change its elements. We can change the whole tuple because it is an element of the list. As WKT TUPLE IS IMMUTABLE so we can't change its elements.
Anurag
which is best in Rpa and python
Python is much preferrable, I would suggest you to go for Python. As it is now a days used in Automations too.
K

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