Such an impressive video! You explained everything so simply and clearly, taking the viewer from the basic concepts in the beginning to the details at the end. This is one of your best. Amazing.
At 14:42 I think the name of the function should be Manhatten distance as you had summed the differences and then squared rather than summing up the square of differences.
Great video, quick question... Let's say if want to predict based on age equals 35, salary equals $80,000 what is function to predict whether or not a paper buys the phone? Thank you
I'm taking a machine learning course with datacamp and it's stupid because they go over everything like you already know it. I really appreciate what you're doing but can you go into details about the core stuff especially the classifications. y_train, x_train, ...etc are stuff that I can't understand yet. Could you show us why things are the way they are in your code this will help us overcome the barrier of making sense of it all. Thanks.
A function is a way to execute lines of code using a single command without repetitively running the same code over and over, I suggest looking here: www.programiz.com/python-programming/function#:~:text=In%20Python%2C%20a%20function%20is,and%20makes%20the%20code%20reusable.
I get an error when i use the accuracy function passing the y_test and y_hat_test arguments "Found input variables with inconsistent numbers of samples" do you know what is the problem? Thanks alot!
Such an impressive video! You explained everything so simply and clearly, taking the viewer from the basic concepts in the beginning to the details at the end. This is one of your best. Amazing.
Thank you so much Cheni! Always appreciate the support 😎
I watched the whole thing! So good!
mode(labels).mode[0] showing error
At 14:42 I think the name of the function should be Manhatten distance as you had summed the differences and then squared rather than summing up the square of differences.
Thanks mate, it helped a lot !
Of course!
"name 'train_test_split' is not defined" I seem to get this error when running it. There was nowhere else it was called before.
you need to import a package from sklearn
i have faced this error please help me " euclidean_distance() missing 1 required positional argument: 'pt2' "
i got the same problem lol
same
Great video, quick question... Let's say if want to predict based on age equals 35, salary equals $80,000 what is function to predict whether or not a paper buys the phone? Thank you
I'm taking a machine learning course with datacamp and it's stupid because they go over everything like you already know it. I really appreciate what you're doing but can you go into details about the core stuff especially the classifications. y_train, x_train, ...etc are stuff that I can't understand yet. Could you show us why things are the way they are in your code this will help us overcome the barrier of making sense of it all. Thanks.
permission to learn sir.thank you
can you explain with using functions please
A function is a way to execute lines of code using a single command without repetitively running the same code over and over, I suggest looking here: www.programiz.com/python-programming/function#:~:text=In%20Python%2C%20a%20function%20is,and%20makes%20the%20code%20reusable.
I keep getting this error: TypeError: KNN() got multiple values for argument 'k_val'
Any ideas on how to fix it?
If you send me your code I can take a look, you can send it to Yakar.noam56@gmail.com
@@TheTeenInnovator Done! And thanks for the reply. :)
Pls tell the reply , how to get rid of this .
I get an error when i use the accuracy function passing the y_test and y_hat_test arguments "Found input variables with inconsistent numbers of samples" do you know what is the problem?
Thanks alot!
happened to me too. seams that X and Y should have the same amount, i did
X.shape
found : 13,1101
Y.shape
found : 1101
I still can't solve it.
Did someone get this error ?
mode(labels).mode[0]
IndexError: invalid index to scalar variable.
I get error euclidean_distance() missing 1 required positional argument: 'pt2'
try this : distances.append(euclidean_distance(np.array(X_train.iloc[i]), test_pt))
it is better if you have added source code please add it !!
It is on my GitHub NoamYakarOfficial!
What is your GitHub account??
NoamYakarOfficial
permission to learn sir. thank you