@@benxneo There are two ways 1. If you have low specification computer then: Search google Collab and do your ML programming there. 2. If you want to do it locally then it's better to install anaconda version for your particular system(os - Mac or windows or Linux) After install: Locally you can go to a folder inside terminal/cmd prompt and type-> jupyter notebook In terminal/cmd This will open editor in a browser. In browser you can click new to create .ipynb files which is nothing but python file which could be run using cells inside jupyter notebook
Hi, thanks a lot for your wonderful channel. I would like to know if you have a course about clustering.
please do i need to be very good at math to get started ?
Thank you for sharing this, means a lot.
Hey do you know where to get the jupyter notebooks?
@@benxneo There are two ways
1. If you have low specification computer then: Search google Collab and do your ML programming there.
2. If you want to do it locally then it's better to install anaconda version for your particular system(os - Mac or windows or Linux)
After install:
Locally you can go to a folder inside terminal/cmd prompt and type-> jupyter notebook
In terminal/cmd
This will open editor in a browser.
In browser you can click new to create .ipynb files which is nothing but python file which could be run using cells inside jupyter notebook
@@rohanayush Thanks for the reply but I meant the notebooks from the class. Sorry if I wasn't clear.
@@benxneo Hi. I was also looking for the jupyter notebooks, you can find them on this github repo: github.com/kuleshov/cornell-cs5785-applied-ml
Awesome
has this code been tested and debugged? Getting errors with "sk" not defined and "n_samples" not defined
Use "import sklearn as sk", and "np_samples = 4"