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Series/Dataframes\n  - Loaded Operators\n  - Higher Order functions\n- NumPy\n  - linalg module\n- SciPy\n  - distance module\n- Sklearn\n  - BaseEstimator module\n  - ClassifierMixin module\n- Timeit\n  - default_timer() method\n- Visualization\n  - seaborn module\n  - matplotlib.pyplot module\n- Python kNN Algorithim\n  - sklearn.neighbors module\n\n\u003cbr\u003e\n\nProject Features:\n- Project delves into several different ways to implement the 1-NN Algorithim\n- Project delves into several different ways to implement the K-Nearest-Neighbor Algorithm\n- Different algorithms are timed to help determine which method of implementing the K-Nearest-Neighbor Algorithm is the most efficient.\n- Algorithm plotted visualizations to see the impact on the algorithm's duration and efficiency.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadmoeezkhan%2Fk-nearest-neighbor-algorithm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmuhammadmoeezkhan%2Fk-nearest-neighbor-algorithm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadmoeezkhan%2Fk-nearest-neighbor-algorithm/lists"}