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ml-coursera-python-assignments reviews and mentions
Posts with mentions or reviews of ml-coursera-python-assignments.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-18.
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[D] Backpropagation is not just the chain-rule, then what is it?
check this out in particular. It's the week 4 homework from Ng's course, redone by someone to be in Python instead of Octave. It's got a built in grader, so you can grab the jupyter notebook, run it locally and it'll tell you when you've got the answer right. I'd recommend taking a crack at it, then when you figure out how to code it, take a look at that micrograd library and see how you could achieve something similar using an object oriented approach.
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How does Andrew Ng's courses compare to OMSCS ?
Python version of assignments which you can submit: https://github.com/dibgerge/ml-coursera-python-assignments
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Is the new Andrew Ng specialisation course worth it if I finished the original one with Python exercises?
Basically title. I'm halfway thru the original Stanford University Machine Learning course by Andrew Ng, but instead of using the Octave/Matlab exercises, I went with a Python repo. Now, I know the new specialisation course came out and is updated with newer content, more relevant to the state of the industry today. I have the following choices:
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Is the Andrew Ng course worth having to learn Octave?
A language is only worth learning if it is useful to know. But the only reason 99% of people would learn Octave is just to take that course lol. Besides, (a) the original course can be completed in Python using this repo, and now his new course is actually offered in Python.
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What do you think of Andrew Ng's new Machine Learning Specialization that launched last week on Coursera?
FWIW there is a repo you can use to complete the first one in Python. I used it and can vouch that it works perfectly as advertised.
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Andrew Ng updates his Machine Learning course
You can do them in python and submit them! https://github.com/dibgerge/ml-coursera-python-assignments
- Andrew Ng’s Machine Learning course is relaunching in Python in June 2022
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[NEWS] Not sure if this has been posted before, but ML course from Coursera is going to be updated in a new version in June (it will include python)
Andrew Ng ML-Coursera Assignments in Python
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New to ML
Last piece... Octave is super easy to get into. I don't personally think it's worth doing Python versions of the homework, but if you really can't stand screwing around with a new language, this repo has alternate versions of the homework to follow that will use Python instead. You can do either these or the original versions, so don't let the Octave scare you. You don't have to use it if you really don't want to, but... like I said, it's not a big deal either way, I just did it in Octave.
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Has anyone here done Andrew Ng's ML Course in Python and could help me out with the first assignment?
Specifically, I'm referring to this github repository: https://github.com/dibgerge/ml-coursera-python-assignments/blob/master/Exercise1/exercise1.ipynb. I'm currently doing Assignment 1.
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The primary programming language of ml-coursera-python-assignments is Jupyter Notebook.
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