plz explain question 1
Logistic Regression Quiz doubt
Hi please note that in linear when we were using mse as our loss (y-ypred)**2, there ypred was normal wx+b, which is a definite linear function. So squaring a linear function will give a pure convex or concave function. But in logistic while using (y-ypred)**2, here the ypred is a sigmoid function, which is non linear. Thus squaring a non linear function might get you a more non linear function and you may converge on a local minima
I understood but still how to choose from option 3 and 4 (local or global minima ). plz show the graph also
as a non linear function have many local minimas therefore it will be option 3. For option 4 to be true the error function graph should be a pure convex function, which in this case is not possible as we are doing square of a non linear function. Therefore option 4 is false.
Got it:smiley:
Regarding NLTK -stemming and Lemmatization
one more question what we have to exactly remove regarding leading or trailing whitespaces?
plz just explain using example
I have done till this
Hi removing whitespaces could mean removing new line "/n"s or tabs “/t”.
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