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could you please explain how dimension reduction done using best first search with an example of correlation matrix .
this video helped me thanks
Glad it was helpful😄
hi aswin bro, values more than 0.05? or more than 0.5 corr dependies with each other? @9.05 sec
it depends on the range, if it's closer to 1, it's highly correlated,, if it's in middle like 0.5, there is medium correlation, etc.,
HI Aswin bro, what does it meant the term you used "its leaking the data" @4.48 sec.
What should we do with -ve correlated columns?
positive and negative both are to be considered which is at extremes.
Hi, Video did not clearly say, which column to drop and which one to keep. No conclusion. More info could be better
could you please explain how dimension reduction done using best first search with an example of correlation matrix .
this video helped me thanks
Glad it was helpful😄
hi aswin bro, values more than 0.05? or more than 0.5 corr dependies with each other? @9.05 sec
it depends on the range, if it's closer to 1, it's highly correlated,, if it's in middle like 0.5, there is medium correlation, etc.,
HI Aswin bro, what does it meant the term you used "its leaking the data" @4.48 sec.
What should we do with -ve correlated columns?
positive and negative both are to be considered which is at extremes.
Hi, Video did not clearly say, which column to drop and which one to keep. No conclusion. More info could be better