GitHub / grvnair / knn-from-scratch
Created a Python program for K Nearest Neighbor Algorithm implementation from scratch. Determined the Euclidean distance between the data points to classify a new data point as per the maximum number of nearest neighbors. Implemented the algorithm on sklearn’s IRIS dataset which achieved an accuracy of 95.56%.
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PURL: pkg:github/grvnair/knn-from-scratch
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 38.1 KB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago
Topics: algorithm, knearest-neighbor-algorithm, knearest-neighbors, machine-learning, python