About the Machine Learning Specialization category

Course Q&A Machine Learning Specialization
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394 Likes
Parameters dimension, multiclass neural network
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Dear trainers and lecturers, thank you for this updated course! I can imagine it was a lot of work migrating from Octave to Python and taking new videos.

Please allow me to ask why we, the enrolled students of the previous ML course learning Octave at coursera.org, were automatically unsubscribed from the previous course and not informed even if we were in the middle of the learning phase? Please note that we spent already a lot of time and will need to start all over as I see it in my progress of the new coursera.org ML course right now.

Please include us in the future if there is a change of courses which are currently in progress by us.

Thanks!

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I communicated with coursera.org. The old course “Machine Learning” using Octave is still available and I still can finish it.

new_and_old
new_and_old1215×685 114 KB

The confusion and cause was that the link of the old course was changed from

this

to

this

The new course can be found here.

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I am not able to access the lab in the first week of the supervised learning, Regression, and classification course.

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I would like check where i could do better after finishing practice lab, so where can i get the details of the codes？

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@Rasika_Deshmukh, please check this out.

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Hello @275335751,

if you want to download a copy of the codes, then, on the jupyter notebook, on the top right corner, you can click “Lab files”, then click “download all files”.

This MLS demonstrates machine learning code so that learners can be familiar with them, and for some codes, you can find comments around to explain the purpose of the code, but if you want to learn Python, please consider to browse the coursera catelogue and see if there is any Python course suitable for you.

Cheers,
Raymond

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Hello learners,

I am closing this thread, but if you have a new question, please open a new topic. Thank you.

Raymond

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