Reshape your data either X.reshape(-1, 1) if your data has a single feature/column and X.reshape(1, -1) if it contains a single sample. If you are getting this error then in this video, I plan to demystify the confusion surrounding numpy reshape (1,-1) function.
I’ll use a simple example to explain what does -1 mean in numpy reshape.
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I’ll do my best to answer those.
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Rahul Kole
•3 mins ago
I am getting an attribute error 'builtin_function_or_method' object has no attribute 'reshape'. What to do?
carlos fotsing
•3 mins ago
sir what about AttributeError: 'list' object has no attribute 'reshape'
Lex Li
•3 mins ago
thank you, Bhavesh. this is v helpful. one follow up question, why do we only reshape x? why don't reshape both X and y?
Tommy Phillips
•3 mins ago
Thank you! Made it easy to understand
Germán Distel
•3 mins ago
Awesome, to-the-point explanation. Thanks
shiva kumar
•3 mins ago
straight to the damn point, Good one !!
Harsh Patel
•3 mins ago
How simply you did that!!! Amazing 👏👏
Faique Jatu
•3 mins ago
helped me a lot sir, spent hours on figuring out that column.😅
urbaneplanner
•3 mins ago
Thanks! I was struggling with what the -1 meant
Ameer ul Islam
•3 mins ago
thanks
Suraj Verma
•3 mins ago
Thanks for making it clear !!!
Kenny Osubor
•3 mins ago
You're a G bro! Subscribed!
Sanjay S
•3 mins ago
Thanks man,
RENZO ANDRE GONZALES MALDONADO
•3 mins ago
Clean explanation, keep it up. Thanks a lot!!
Kushal Hu
•3 mins ago
Thanku bro
CJ Johanson
•3 mins ago
Thank you! This was super helpful!!!
Nandhagopal cs
•3 mins ago
Straight into the point .Good job
Sachin Ladhad
•3 mins ago
Please let me know why linear regression function is expecting 2D array or let me know where I can read the reason behind linear regression why it expects 2D array
fangyu wang
•3 mins ago
thank you Bhavesh, finally someone answered my question!
Animesh Sharma
•3 mins ago
x = x.reshape(len(x), 1) or in this case x = x.reshape(100, 1) will also do the work
Rohan Ahire
•3 mins ago
Thanks, this saved a lot of time for me.
Emmanuel Masabo
•3 mins ago
Well explained. Thank yoi
Mukesh Patel
•3 mins ago
Nice and simple explanation 🙂
V K
•3 mins ago
Thanks for the very fast, simple explanation!
tom tom
•3 mins ago
Amazing ! Great stuff ,thanks a lot .This was such a help . All the Best 🙂
MARS HUO
•3 mins ago
but the latter 1, it's add a dimension or convert into 1 dimension?
Mazahir Saleem
•3 mins ago
I want to take csv file as my input. how can i reshape my data particularly the x variable in my csv file. every time i took a scv file as input and there occurs a dimensional error.
Cara Gillespie
•3 mins ago
You're amazing! Thanks for taking the time to share, this was a huge help 🙏🏼
Vinod R
•3 mins ago
thank you sir ,
Snehashish Banerjee
•3 mins ago
Your explanation is good. But why 2D array is needed here?
Mohammed Al Tameemi
•3 mins ago
you are a life saver thank you
bushwalkernsw
•3 mins ago
it was very helpful. thank you
Dhruvin Suthar
•3 mins ago
Hi, I am trying to do reshape to another dataset but I am getting an error "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()." What is the best ways to solve it?
AK S
•3 mins ago
Thanks it helped