I have a question. Suppose I want to impute the value for Column C in a row. If three nearest neighbors are identified based on Euclidean distance, what should be done if all those neighbors have NaN values in Column C? Additionally, what if only one or two of the three neighbors have NaN values in Column C? In this case what will be the value for imputation?
For micro-average-precision in A class TP = 32 but FP = 10+8 = 18 and so on for all the classes and for micro-average-recall in A class TP = 32 but FP = 9+12 = 21 and so on for all the classes. You made a mistake here and do opposite of this i think you un-intentionally do this mistake. I am telling this here for all the students who come to this video to avoid this mistake. Anyways good and informative video 🙂Thanks
I tried editing using notepad++ but it doesn't work for some reason. Doing it with notepad along with copying the folder address AND adding "\\" (without the " ") before adding the browser .exe file works. Also the %s is important too
Very good tutorial.if we want to access previous row inside apply function, how can we do that. ? If I have index defined, can I do row.index-1 or if I dont have index defined , how do we know current location of current row?
Dude! I've been trying to get this to work for a solid 24 hours before catching your video. In the end, the solution was super simple. lol Thanks for your video!
I get an error (i.e. SyntaxError : EOL while scanning string literal) if I try this: print(R"C:\Users\User1\Downloads\") # where there is a back-slash at the end of the string. Could please you help me on this?
I just watched your clip, really thank you, I'm very excited to just click on the .bat file to run Jupyter, without having to turn on cmd, cd to the folder then type jupyter notebook. Very impressive
