If you want a (very) rough estimate of your future CF rating and you're tired of waiting for a response in stefdasca's famous post, then wait no longer! I present to you this simple repo that performs logarithmic regression over your rating history.
This is by no means perfect, but you can help with that! Write your suggestions in the comments.
Edit: Apparently, as suggested by tgp07, you can run the code online.
I am not familiar with github. Pls Tell me how to use it?
Well, in this particular case it will suffice to click on the 'Code<>' button, then click on 'Download .ZIP'.
So i just need to run the python code.
You should change the "WHO" variable, however.
Actually i have not plot any graph before. Can i run the code online? I am getting some errors while running it on w3 school
I was able to run it successfully on: https://trinket.io/embed/python3/a5bd54189b
Thanks, great one
Nice to see my idea being put into something more practical, even after this long.
Well done jerefigo!
Thank you!!, It means a lot coming from you.
I'm guessing you used a more complex method for prediction, right? Could you share some insight as to how to improve the current model?
I used only my stock trading knowledge and some gut feelings, no code was involved at all.
I think you can try to use some geometrical knowledge to improve this project, that would be a good start.
Oh, very interesting!
Well, I don't have much geometrical knowledge besides the CSES geometry section haha, can you name drop some concepts that could be helpful for the project?
Liked this utility. Very elegant use of python
Thank you, enjoy!
If you have any suggestions please notify me!