What does numpy reshape(-1 1) mean?

Thanks for the clear explanation Bhavesh!

The thing like this is, "I know it adds dimension, but I don't know how it does". Good thing reviewing such basic. Many thanks to your video.

I appreciate how you simply explained that stuff. I was stuck in my LSTM project and this content helped me to know what is reshape(-1, 1)

Thanks a lot man !! This problem kept kept nagging me for days. You just earned a sub 🙂

Life saver

cool explanation , thank you

Short and sweet. thankyou!

very clear! Thank a lot!

Thanks for your to the point explanation. It saved a lot of time.

Thank you!

Thank you!!!

You solved all my doubts. Awesome video Bhavesh

provider link of machine learning tutorial playlist in your description will save time for us.

Thanks a lot!

You are a saviour buddy

Do we need to do the same way for y ?
y = y.reshape(-1,1)

because when I run lr.fit(x,y)
Message show "TypeError: fit() missing 1 required positional argument: 'y'"

can we use reshape function in a multi linear regression i.e which has multiple features if we can use can you please share code below how to define for a multi linear regression

Thanks for the tutorial sir

I just liked the vid and the number become 666.

Hi..While working on SUV dataset, I got the value error when I tried doing feature scaling using StandardScaler post train test split. Error is: "ValueError: Expected 2D array, got 1D array instead:'." How to resolve the issue?
Also, its little weird that when I am running the same code on google colab I am not getting this error. Could you help me understand, why am I getting this error on my jupyter notebook?

Thanks bhaiya

Thankyou!

I am getting an attribute error 'builtin_function_or_method' object has no attribute 'reshape'. What to do?

sir what about AttributeError: 'list' object has no attribute 'reshape'

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?

Thank you! Made it easy to understand

Awesome, to-the-point explanation. Thanks

straight to the damn point, Good one !!

How simply you did that!!! Amazing 👏👏

helped me a lot sir, spent hours on figuring out that column.😅

Thanks! I was struggling with what the -1 meant

thanks

Thanks for making it clear !!!

You're a G bro! Subscribed!

Thanks man,

Clean explanation, keep it up. Thanks a lot!!

Thank you! This was super helpful!!!

Straight into the point .Good job

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

thank you Bhavesh, finally someone answered my question!

x = x.reshape(len(x), 1) or in this case x = x.reshape(100, 1) will also do the work

Thanks, this saved a lot of time for me.

Well explained. Thank yoi