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Machine Learning Unit 1: K-Nearest-Neighbors

Getting Started

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.

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  • Jupyter Notebook 100.0%