Fork and clone this repo. Open a new terminal and navigate to this directory, and then run jupyter notebook
. A new browser window will open, displaying this directory. Begin work on k-nearest-neighbors.ipynb
. If you finish this notebook, you may move on to extension-sklearn.ipynb
.
If you haven't installed the jupyter cli, open the Anaconda Navigator and select the Jupyter icon. From there, a new browser window will open, displaying a file tree. Navigate to this directory and open k-nearest-neighbors.ipynb
to begin work.