GitHub / Nemshan / K-NN-Algorithm-From-Scratch
the challenge : write a KNN Algorithm that 1.Must be able to accept both numeric and categorical features. 2.Must at least perform classification, regression is optional. 3-Use Gower distance (Minkowski’s for continuous and Jaccard for categorical 4.Use Titanic data to predict survival and IRIS to predict type
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Forks: 3
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Language: Jupyter Notebook
Size: 41 KB
Dependencies parsed at: Pending
Created at: about 7 years ago
Updated at: over 1 year ago
Pushed at: over 6 years ago
Last synced at: over 1 year ago
Topics: jupyter-notebook, knn, knn-algorithm, knn-model, python