Removeddit VS ml-coursera-python-assignments

Use removeddit.com's extension. It's extremely likely you've had comments hidden/censored that you're not even aware of dude... It's not just rightwing extremists, it's also just vanilla right wingers, libtards, progressives, anti corporates, etc etc.

I don't know if you've heard, but reddit is taking a number of controversial steps to prepare themselves for becoming a public corporation later this year. For instance, they recently announced they would charge for access to their API, which basically means most third party reddit programs like old.reddit.com, removeddit.com, or the Apollo app could get killed off.

removeddit.com

Example: reddit.com becomes reveddit.com/ or ceddit.com/ or removeddit.com/

Be aware of http://removeddit.com/, bots that automatically store what you write, and parasitic followers and how to block and ban and report them.

Can anyone suggest me a good alternative to https://removeddit.com/ ? I'm curious about finding out how they justify or denies it in the comment, but the site is down... :(

What I would REALLY like to see, both for utility and to stick it to the man, is a website like removeddit.com that saves all the negative reviews Glassdoor and Indeed delete for their employer overlords.

Replace reddit.com in the URL with removeddit.com

I can't see the actual post other than the subject and removeddit.com is not workin or not picking up that post. Probably because it was deleted. I guess I could never prove I didn't post on an alt account or something...but not sure what that would accomplish.

the pushshift thing seems to be right. the github page for removeddit (and for reveddit too) clearly states it uses pushshift’s API, so i think you’re right about it being a bit slow to archive things

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.

Python version of assignments which you can submit: https://github.com/dibgerge/ml-coursera-python-assignments

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:

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.

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.

You can do them in python and submit them! https://github.com/dibgerge/ml-coursera-python-assignments

Andrew Ng ML-Coursera Assignments in Python

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.

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.