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GitHub2y
GitHub - AnuragDPawar/kNN-algorithm-from-scratch-in-Python: In this assignment, kNN algorithm is implemented without using any library function. The code is tested on the iris ...
With this project I wanted to explore the kNN in details and implement it from the very begining. kNN Algorithm. The kNN algorithm is part of the instance-based, competitive, and lazy learning ...
GitHub3y
GitHub - anishanand1996/Data-Imputation-using-k-nearest-neighbor-in-Python: In this project, we perform missing data imputation in Python using 2 variants of the KNN algorithm ...
In this project, we perform missing data imputation in Python using 2 variants of the KNN algorithm, i.e Complete case KNN and Incomplete case KNN, using Scikit Learn, Pandas and NumPy. Pandas is used ...
GitHub24y
nmslib/hnswlib: Header-only C++/python library for fast approximate nearest neighbors - GitHub
num_threads sets the number of cpu threads to use (-1 means use default). filter filters elements by its labels, returns elements with allowed ids. Note that search with a filter works slow in python ...