Machine Learning Coursera Practice Lab: Logistic regression

[@scottjobe4967]

Thank you. I understood the concepts of the course but don't have python experience. this was very helpful

[@Fahad-yc7xe]

bro i love you so much i have been stuck in a question for a million years and you came up and helped me ,thank you so much

[@عبدللهفراسعبدللهرشيد]

i pass all test but when i submit he gave me 0 and told me this (Cell #UNQ_C4. Can't compile the student's code. Error: IndentationError('expected an indented block', ('/tmp/student_solution_cells/cell_19.py', 48, 9, ' p[i]= 0
'))

[@mmm2233]

@@عبدللهفراسعبدللهرشيد try to keep the code within the indentation of the function.

[@atharvajoshi610]

@@عبدللهفراسعبدللهرشيد same

[@oscareddytrejos]

Simple and efficient explanation, thanks!!!

[@ImranRafique-e6i]

Here what is (np.exp) but in formula it give (e)

[@atharvajoshi610]

hello , I have been facing this issue of "Comment line with index: `UNQ_C2` wasn't found in code" . Please help to resolve this .

[@nehalagarwal8895]

In ex2, after running the code , its saying that x is not defined can some one please help me out

[@senorperez]

hey how can i come to this level of coding, like i literally have to watch your vide, even if i had watched the course

[@NiroshanVidanagamage]

this was really helpful...

[@narges2034]

Please create video for linear Algebras assessments course from Deep learning AI,

[@leogodofnone2706]

Thanks, mate.

[@andreinita2078]

For me it didn't worked :((
NameError: name 'X_train' is not defined
I constantly get this error for all the exercises excepting the first one

[@magicalayush6141]

did you find any other solution?

[@nadashreef2633]

Run all the above cells first

[@simranlahrani]

Please share all the codes to me are u don't with all 4 weeks?

[@magicalayush6141]

well i do have codes now, i can share if you want
@@simranlahrani

[@PiSquareTheta]

Same thing is happening with me but with qn1
It says sigmoid is not defined

[@amrrasslan4329]

ty so much

[@OyenugaDaniel]

ive been trying to submit it keeps denying my submission and all the tests have been passed

[@عبدللهفراسعبدللهرشيد]

i pass all test but when i submit he gave me 0 and told me this (Cell #UNQ_C4. Can't compile the student's code. Error: IndentationError('expected an indented block', ('/tmp/student_solution_cells/cell_19.py', 48, 9, ' p[i]= 0
'))

[@shivanshukumar9862]

4 th is not running

[@tamoghnachattopadhyay1968]

Ya same
What did you do to run that?

[@magicalayush6141]

Same issue

[@syedilyasjaweedsyed3385]

I'm also getting the same issue of errors, what did you do solve this issue please share possible solution if you know

[@senorperez]

@@syedilyasjaweedsyed3385 what is the error

[@priyadav817]

I am getting this error
# UNIT TEST
compute_cost_reg_test(compute_cost_reg)
X_mapped = map_feature(X_train[:, 0], X_train[:, 1])
np.random.seed(1)
initial_w = np.random.rand(X_mapped.shape[1]) - 0.5
initial_b = 0.5
lambda_ = 0.5
cost = compute_cost_reg(X_mapped, y_train, initial_w, initial_b, lambda_)
​
print("Regularized cost :", cost)
​
# UNIT TEST
compute_cost_reg_test(compute_cost_reg)
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
in
4 initial_b = 0.5
5 lambda_ = 0.5
----> 6 cost = compute_cost_reg(X_mapped, y_train, initial_w, initial_b, lambda_)
7
8 print("Regularized cost :", cost)
in compute_cost_reg(X, y, w, b, lambda_)
23 ### START CODE HERE ###
24 for j in range(m):
---> 25 reg_cost = reg_cost + w[j] ** 2
26 reg_cost = reg_cost / (2*m) * lambda_
27
IndexError: index 27 is out of bounds for axis 0 with size 27

[@MaleekaSanketh]

use
for j in range(n)
you are most probably using range(m)

[@noavailable31]

lo mismo me paso a mi, y el error estaba en el mal uso de un parentesis por un bracket

[@عبدللهفراسعبدللهرشيد]

i pass all test but when i submit he gave me 0 and told me this (Cell #UNQ_C4. Can't compile the student's code. Error: IndentationError('expected an indented block', ('/tmp/student_solution_cells/cell_19.py', 48, 9, ' p[i]= 0
'))