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Creates an example of KNN algorithm using sklearn library. |
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Random Forest Classification | ||
Random Forest Regression | ||
decision_tree.py | ||
gradient_descent.py | ||
k_means_clust.py | ||
knn_sklearn.py | ||
linear_regression.py | ||
logistic_regression.py | ||
NaiveBayes.ipynb | ||
perceptron.py | ||
reuters_one_vs_rest_classifier.ipynb | ||
scoring_functions.py |